Databases / Data management Books
Springer Fachmedien Wiesbaden Cyber-Sicherheit: Das Lehrbuch für Konzepte,
Book SynopsisDieses Lehrbuch gibt Ihnen einen Überblick über die Themen der IT-Sicherheit Die digitale Transformation eröffnet viele neue Möglichkeiten, den dadurch lassen sich Geschäftsmodelle und Verwaltungsprozesse radikal verändern. Aber mit fortschreitender Digitalisierung nimmt jedoch die Komplexität der IT-Systeme- und Infrastrukturen zu. Zudem werden die Methoden der professionellen Angreifer ausgefeilter und die Angriffsziele kontinuierlich lukrativer, insgesamt führt dies bei Unternehmen und der Gesellschaft zu hohen Schäden. Für eine erfolgreiche Zukunft unserer Gesellschaft ist es daher entscheidend, diesen gestiegenen Risiken entgegenzuwirken und eine sichere sowie vertrauenswürdige IT zu gestalten. Von daher ist es notwendig, dass mit den wachsenden Herausforderungen auch neue Entwicklungen und Prozessen in der Cyber-Sicherheit einhergehen. Was sich hier getan hat können Sie in der 2. Auflage des Lehrbuchs ‚Cyber-Sicherheit‘, von Prof. Norbert Pohlmann, nachlesen. Denn in der Überarbeitung der sehr erfolgreichen Erst-Auflage wurden die bestehenden Kapitel ergänzt und aktualisiert sowie zusätzlich für neue Themen weitere Kapitel hinzugefügt. Aber auch Lehrmaterialien, wie 19 komplette Vorlesungen und Überbungen auf den Webseiten wurden angepasst und erweitert.Auf insgesamt 746 Seiten bietet Informatikprofessor Norbert Pohlmann grundlegendes Wissen über die Cyber-Sicherheit und geht bei innovativen Themen, wie Self Sovereign Identity oder dem Vertrauenswürdigkeits-Modell, detailliert in die Tiefe. Dabei ist dem Autor wichtig, nicht nur theoretisches Fachwissen zu vermitteln, sondern auch den Leser in die Lage zu versetzen, die Cyber-Sicherheit aus der anwendungsorientierten Perspektive zu betrachten.Lernen Sie mithilfe dieses Lehrbuchs mehr über Mechanismen, Prinzipien, Konzepte und Eigenschaften von Cyber-Sicherheitssystemen. So sind Sie in der Lage, die Sicherheit und Vertrauenswürdigkeit von IT-Lösungen zu beurteilen.Grundlegende Aspekte der Cyber-SicherheitIm einführenden Abschnitt werden den Lesenden die Grundlagen der IT-Sicherheit vermittelt:· Cyber-Sicherheitsstrategien· Motivationen von Angreifern· Sicherheitsbedürfnisse der Bürger und Mitarbeiter von Unternehmen· Aktuelle Cyber-Sicherheitsprobleme· Herausforderungen für eine sicher und vertrauenswürdige digitale Zukunft· Wirksamkeitskonzepte von Cyber-SicherheitsmechanismenDetaillierte Darstellung relevanter Systeme, Prozesse und Prinzipien In den weiteren Kapiteln wird auf besonders relevante Teilbereiche der Cyber-Sicherheit fokussiert:· Kryptographie· Hardware-Sicherheitsmodule zum Schutz von sicherheitsrelevanten Informationen· Digitale Signatur, elektronische Zertifikate sowie PKIs und PKAs· Identifikation und Authentifikation· Enterprise Identity und Access Management· Trusted Computing· Cyber-Sicherheit Frühwarn- und Lagebildsysteme· Firewall-Systeme· E-Mail-Sicherheit· Blockchain-Technologie· Künstliche Intelligenz und Cyber-Security· Social Web Cyber-Sicherheit· Self-Sovereign Identity (SSI) - neu· Vertrauen und Vertrauenswürdigkeit - neu· Weitere Aspekte der Cyber-Sicherheit - neuZudem erfahren Sie mehr über neue Standards und Methoden bei IPSec-Verschlüsselung, Transport Layer Security (TLS) sowie Sicherheitsmaßnahmen gegen DDoS-Angriffe. Anschauliche Grafiken und Tabellen bilden Prozesse und Zusammenhänge verständlich ab. Didaktisch gut aufbereitet, können Sie die Inhalte mit zahlreichen neuen Übungsaufgaben vertiefen. Das Lehrbuch richtet sich insbesondere an Lesende, für die ein umfassendes Know-how zu Cyber-Security im Arbeits-, Lehr- oder Privatumfeld relevant und interessant ist:· Studierende der Informatik, IT- oder Cyber-Sicherheit, aber auch angrenzende Disziplinen· Auszubildende im Bereich Fachinformatik, digitale Medien· Mitarbeitende/Führungspersonen aller Branchen, die sich mit Digitalisierung beschäftigen Die zweite Auflage des Lehrbuchs Cyber-Sicherheit von Prof. Norbert Pohlmann wurde umfassend überarbeitet, aktualisiert und um drei neue Kapitel sowie ein Glossar erweitert. Trade Review“... Es eignet sich auch sehr gut als Informationsquelle für alle an der Cyber-Sicherheit Interessierten in Fachabteilungen ohne unmittelbaren IT-Bezug und für Prüfende in der Revision, die einschätzen müssen, wo und wie sie selbst prüfen können und wo externe Sachverständige hinzugezogen werden sollten. … bietet die 2. Auflage ein übervolles Füllhorn an Wissen und ist damit nicht nur für Lehrveranstaltungen ein idealer und uneingeschränkt zu empfehlender Begleiter, sondern auch bei der alltäglichen Bewältigung der stetig zunehmenden CyberSicherheits-Herausforderungen ...” (Matthias Knoll, in: HMD Praxis der Wirtschaftsinformatik, Jg. 60, Heft 2, 2023)Table of ContentsSichtweisen auf die Cyber-Sicherheit - Kryptographie - Hardware-Sicherheitsmodule zum Schutz von sicherheitsrelevanten Informationen - Digitale Signatur, elektronische Zertifikate sowie PKIs und PKAs - Identifikation und Authentifikation - Enterprise Identity und Access Management - Trusted Computing - Cyber-Sicherheit Frühwarn- und Lagebildsysteme - Firewall-Systeme - IPSec-Verschlüsselung - Transport Layer Security (TLS) / Secure Socket Layer (SSL) - Cyber-Sicherheitsmaßnahmen gegen DDoS-Angriffe - E-Mail-Sicherheit - Blockchain-Technologie - Künstliche Intelligenz und Cyber-Sicherheit - Social Web Cyber-Sicherheit - Wirtschaftlichkeit von Cyber-Sicherheitsmaßnahmen
£26.59
Springer Fachmedien Wiesbaden Blockchain-Implementierung in eine Automotive
Book SynopsisIn der Automotive-Branche ist eine schnell agierende und perfekt abgestimmte Supply Chain ein entscheidender Vorteil gegenüber dem Wettbewerb. Durch die Implementierung der Blockchain-Technologie lässt sich die Geschwindigkeits- und Transparenzerhöhung gewährleisten. Dieses essentiell simuliert eine Supply Chain an verschiedenen Instanzen, in der die Blockchain exemplarisch genutzt wird und dadurch die Supply-Chain-Abläufe automatisiert werden.
£9.99
Springer Fachmedien Wiesbaden Angewandte Data Science: Projekte Methoden
Book SynopsisDie Anwendungen der Disziplin Data Science erweitern und wandeln sich stetig. In diesem Buch geben Insider aus Praxis, Wissenschaft und Lehre detailliert die Ergebnisse ihrer Data-Science-Projekte, Methodenwissen sowie Knowhow zu Vorgehensweisen und Prozessmodellen an den Leser weiter. Dabei wird ein weit gespannter Querschnitt an konkreten Anwendungen beschrieben, erklärt und illustriert: von der Nutzung generativer KI-Systeme über quantitative Textanalyse, Predictive Policing, Erklärbarkeit von Machine-Learning-Modellen, experimentelle Datenanalyse in der Spektroskopie bis hin zu Datenvisualisierung, Strukturgleichungsmodellen und Varianzanalyse.Das Buch richtet sich an jeden, der sowohl am konkreten Einsatz von Datenwissenschaft, Statistik, Maschinellem Lernen und Künstlicher Intelligenz als auch am zugehörigen theoretischen Hintergrund interessiert ist. Praktikern, Studierenden und Lehrenden dürfte es von besonderem Nutzen sein: eine Vielzahl an Abbildungen, Diagrammen und Illustrationen ergänzen die reichhaltigen Textinformationen; Links zu Webseiten und Webapplikationen verweisen auf online verfügbare weitere Informationsquellen und Data-Science-Werkzeuge.Table of ContentsEinflüsse der Corona-Pandemie auf die deutsche Presse-Sprache.- Predictive Policing.- Am Anfang war der Prompt.- Erklärbarkeit als Schlüssel für den verantwortungsvollen Umgang mit KI. - Strukturgleichungsmodelle versus Varianzanalyse.- Was ist schon normal in diesen Zeiten? - Sankey-Diagramm reloaded.- Jenseits der Algorithmen.- A Scalable Architecture for Smart Genomic Data Analysis in Medical Laboratories.- Die Sieben V der Daten.– Scope Creep, GUI, Skalierung.
£26.59
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Customer-Data-Plattformen: Grundlagen, Systeme,
Book SynopsisDieses Buch beantwortet grundlegende Fragen zu CDP, gibt einen Überblick über aktuelle CDPs und identifiziert deren Vorteile und Schwachstellen. Zudem setzt es sich mit unterschiedlichen Entwicklungen im Marketingumfeld auseinander, die starke Treiber für den Einsatz einer Customer-Data-Plattform (CDP) sind. Marketing-Entscheider sowie Verantwortliche aus den Bereichen Online-Marketing und E-Commerce erhalten Tipps, wie die passende CDP ausgewählt und implementiert werden kann. Zudem ist dieses Buch interessant für alle Entscheider, die sich damit beschäftigen, wie sie ihren Konsumenten ein besseres Kauferlebnis bieten können. Dabei geht Jonas Rashedi nicht nur auf die technischen Aspekte ein, sondern beleuchtet auch die organisationsbezogenen Voraussetzungen für die erfolgreiche Implementierung und Verwendung einer CDP. Praxisbeispiele veranschaulichen die Inhalte.This book offers an excellent introduction to the CDP category. I recommend it for anyone trying to understand what CDPs do, whether a CDP is right for their company, and how to select the right CDP.David M. Raab, Gründer und CEO des CDP InstitutesTable of ContentsEntwicklungen im Marketingumfeld als Treiber für den Einsatz von CDPs.- Was ist eine CDP und was ist es nicht?.- Funktion, Aufbau und Arten von CDPs.- Aktuelle CDPs und deren Schwachstellen.- Auswahl und Implementierung eines CDP.- CDP – Wie geht es weiter?.
£28.49
Springer Vieweg Grundkurs Datenbankentwicklung
Book SynopsisDatenbankgrundlagen.- Ermittlung der Anforderungen an Datenbanken.- Datenmodellierung.-Tabellendefinition in SQL.- Einfache Anfragen in SQL.- Verschachtelte Anfragen in SQL.- Transaktionen.- Stored Procedures und Trigger.- JDBC.- Test von Datenbanken.- NoSQL mit MongoDB und Java.
£35.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Diskurse der Datenökonomie: Kontroversen und
Book SynopsisDie Potentiale und Risiken der Datenökonomie sind Gegenstand anhaltender Kontroversen. Zur Untersuchung dieser Kontroversen wird eine wissenssoziologische Diskursanalyse von Diskursdaten im Zeitraum von 2010 bis 2020 durchgeführt. Die Ergebnisse zeigen eine Demokratisierung der Technologieentwicklung durch die Austragung von Kontroversen im öffentlichen Diskurs sowie in politisch eingerichteten „hybriden Foren“. Die Arbeit erweitert die Forschung über die Kontroversen und kollektiven Wissensprozesse in der Datenökonomie. Table of ContentsEinleitung.- Literatur zu Technologiediskursen.- Methodik.- Analyse.- Modell der kollektiven Wissensproduktion in kontroversen Technologieentwicklungsprozessen.- Diskussion der Ergebnisse und Beiträge zur Forschung.- Limitationen der Arbeit und zukünftige Forschung.- Schlussfolgerung und Ausblick.- Literaturverzeichnis
£52.24
Springer Fachmedien Wiesbaden Innentäter-Screenings durch Anomalieerkennung:
Book SynopsisAngriffe aus den eigenen Reihen durch sogenannte Innentäter sind für Unternehmen nur schwer zu erkennen. Unter Innentätern versteht man Personen, die in Unternehmen oder Organisationen vorsätzlich dolose Handlungen vornehmen. Ihnen fällt es aufgrund ihres Wissens über Interna leichter, etablierte Schutzmaßnahmen zu überwinden. Unternehmensinhaber trifft im Rahmen des mehrdeutigen Begriffs unternehmerischer Compliance auch eine Pflicht, in ihrem Betrieb für regelgetreues Verhalten der Beschäftigten zu sorgen. Es besteht insofern ein Spannungsverhältnis zwischen dem Recht auf informationelle Selbstbestimmung des Beschäftigten, welches durch das Datenschutzrecht geschützt wird, und der Pflicht des Arbeitgebers, in seinem Unternehmen für rechtskonformes Verhalten zu sorgen. Gegenstand des Buchs ist daher die Frage, welche Konsequenzen die Datenschutz-Grundverordnung sowie die Gesetzgebung auf nationalstaatlicher Ebene für den Beschäftigtendatenschutz im Allgemeinen sowie für die Umsetzung der neuen Anforderungen bei unternehmensinternen Compliance-Maßnahmen hat.Table of ContentsEinführung.- Bedeutung von compliance im unternehmen.- Screenings auf basis der anomalieerkennung.- Rechtlicher rahmen für maßnahmen der mitarbeiterüberwachung im rahmen unternehmerischer compliance auf ebene der grundrechte sowie der emrk.- Regelung des beschäftigtendatenschutzes nach der dsgvo.- Allgemeine anforderungen der dsgvo und des bdsg an anomaliebasierte screenings von mitarbeitern.- Beweisverwertung vor den arbeitsgerichten.- Mitbestimmung des betriebsrats.- Fazit
£56.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Formal SQL Tuning for Oracle Databases: Practical
Book SynopsisThe target of SQL tuning is the improvement of the existing execution plan. The authors discuss the removal of brakes in the execution plan. Such "brakes" or bottlenecks can be recognized by a formal analysis of the execution plan. For this purpose no data model knowledge is needed. This is especially beneficial for database administrators because they are usually not or insufficiently familiar with the data model. The book presents numerous practical examples with this method.Table of ContentsPrefaces.- Introduction.- Some thoughts concerning the term "SQL Tuning".- Minimum minimorum to the subject "Execution Plan".- Approaches to formal SQL Tuning.- Bottlenecks in Execution Plans.- Procedure for formal SQL Tuning.- Practical experiences with formal SQL Tuning.- Appendix.- Application of the formal method for analysis of performance issues following Oracle migration.
£44.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Transactions on Large-Scale Data- and Knowledge-Centered Systems XLV: Special Issue on Data Management and Knowledge Extraction in Digital Ecosystems
Book SynopsisThe LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 45th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight revised selected regular papers. Topics covered include data analysis, information extraction, blockchains, and big data.Table of ContentsInteroperable Data Extraction and Analytics Queries over Blockchains.- Exploiting Twitter for Informativeness Classification in Disaster Situations.- COTILES: Leveraging Content and Structure for Evolutionary Community Detection.- A Weighted Feature-Based Image Quality Assessment Framework in Real-Time.- Sharing Knowledge in Digital Ecosystems Using Semantic Multimedia Big Data.- Facilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments Using Web and Microservice Technologies.- Stable Marriage Matching for Homogenizing Load Distribution in a Cloud Data Center.- A Sentiment Analysis Software Framework for the Support of Business Information Architecture in the Tourist Sector
£71.24
Springer Fachmedien Wiesbaden Digital Transformation: Core Technologies and
Book SynopsisDigital Transformation in Industry 4.0/5.0 requires the effective and efficient application of digitalization technologies in the area of production systems. This book elaborates on concepts, techniques, and technologies from computer science in the context of Industry 4.0/5.0 and demonstrates their possible applications. Thus, the book serves as an orientation but also as a reference work for experts in the field of Industry 4.0/5.0 to successfully advance digitization in their companies.Table of ContentsPart I - Digital Representation: Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0.- Designing Strongly-decoupled Industry 4.0 applications across the stack: a use case.- Variability in Products and Production.- Part II - Digital Infrastructures: Reference Architectures for closing the IT/OT gap.- Edge Computing: Use Cases and Research Challenges.- Dynamic Access Control in Industry 4.0 Systems.- Challenges in OT-Security and their Impacts on Safety-related Cyber-Physical Production Systems.- Runtime Monitoring for Systems of System.- Blockchain technologies in the design and operation of cyber-physical systems.- Part III - Data Management: Big Data Integration for Industry 4.0.- Tons of data - is data quality still an issue?.- Coupling of Top Floor Internal and External Data Exchange Matters.- Part IV - Data Analytics: Conceptualizing Analytics: An Overview of Business Intelligence and Analytics from a Conceptual Modeling Perspective.- Discovering Actionable Knowledge for Industry 4.0: From Data Mining to Predictive and Prescriptive Analytics.- Process Mining - Discovery, Conformance, and Enhancement of Manufacturing Processes.- Symbolic artificial intelligence methods for prescriptive analytics.- Machine Learning for Cyber-Physical Systems.- Visual Data Science for Industrial Applications.- Part V - Digital Transformation towards Industry 5.0: Self-Adaptive Digital Assistance Systems for Work 4.0.- Digital Transformation - Towards flexible human-centric enterprises.
£75.99
Springer Fachmedien Wiesbaden Datenwirtschaft und Datentechnologie: Wie aus
Book SynopsisIn diesem Open-Access-Buch stehen die wirtschaftliche Verwertung von Daten und die dazu gehörenden technischen und organisatorischen Prozesse und Strukturen in Unternehmen im Fokus. Es behandelt Themen wie Datenmonetarisierung, Datenverträge, Data Governance, Informationssicherheit, Datenschutz und die Vertrauenswürdigkeit von Daten.Seit Jahren wird davon gesprochen, dass „Daten das neue Öl“ sind. Expertinnen und Experten sind sich einig: Das Wertschöpfungspotential von Daten ist enorm und das über fast alle Branchen und Geschäftsfelder hinweg. Und dennoch bleibt ein Großteil dieses Potentials ungehoben. Deshalb nimmt dieser Sammelband konkrete Innovationshemmnisse, die bei der Erschließung des wirtschaftlichen Werts von Daten auftreten können, in den Blick. Er bietet praktische Lösungsansätze für diese Hürden an den Schnittstellen von Ökonomie, Recht, Akzeptanz und Technik. Dazu folgen die Autorinnen und Autoren einem interdisziplinären Ansatz und greifen aktuelle Diskussionen aus der Wissenschaft auf, adressieren praxisnahe Herausforderungen und geben branchenunabhängige Handlungsempfehlungen. Den Leserinnen und Lesern soll eine transparente Informationsbasis angeboten werden und damit die Teilnahme an der Datenwirtschaft erleichtert werden. Dieses Buch richtet sich an Entscheidungsträgerinnen und Entscheidungsträger in Unternehmen sowie an Entwicklerinnen und Entwickler datenbasierter Dienste und Produkte. Der Band ist ebenfalls für Fachkräfte der angewandten Forschung wie auch für interdisziplinär Studierende z.B. der Wirtschaftsinformatik, der technikorientierten Rechtswissenschaft oder der Techniksoziologie relevant.Table of ContentsEinleitung: Wie aus Daten Wert entsteht - Datenwirtschaft und Datentechnologie.- Teil 1 - Daten als Wirtschaftsgut: Einleitung: Daten als Wirtschaftsgut.- Grenzkostenfreie IoT-Services in den Datenmarktplätzen der Zukunft.- Besonderheiten datenbasierter Geschäftsmodellentwicklung.- Das Dilemma der Preisbildung datenbasierter Geschäftsmodelle in der produzierenden Industrie.- Bewertung von Unternehmensdatenbeständen: Wege zur Wertermittlung des wertvollsten immateriellen Vermögensgegenstandes.- Teil 2 - Datenrecht: Einleitung: Datenrecht.- Compliant Programming - Rechtssicherer Einsatz von Blockchains und anderen Datentechnologien.- Data Governance und Datenökonomie - Datenteilung in Ökosystemen rechtskonform gestalten.- Herausforderung und Grenzen bei der Gestaltung von Datenverträgen.- Vertragsdurchführung mit Smart Contracts - rechtliche Rahmenbedingungen und Herausforderungen.- Teil 3 - Kontrolle über Daten: Einleitung: Kontrolle über Daten.- Datenhoheit und Datenschutz aus Nutzer-, Verbraucher- und Patientenperspektive.- Verfahren zur Anonymisierung und Pseudonymisierung von Daten.- Datensouveränität in Digitalen Ökosystemen: Daten nutzbar machen, Kontrolle behalten.- Teil 4 - Vertrauen in Daten: Einleitung: Vertrauen in Daten.- Unternehmensdaten - Informationen aus gewachsenen, komplexen Systemen herausarbeiten.- Datenqualitätssicherung entloang der Datenwertschöpfungskette im Industriekontext.- Nationale und internationale Standardisierung und Zertifizierung von Datendiensten.
£31.34
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Transactions on Large-Scale Data- and
Book SynopsisThe LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g. computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 53rd issue of Transactions on Large-scale Data and Knowledge-centered Systems, contains six fully revised selected regular papers. Topics covered include time series management from edge to cloud, segmentation for time series representation, similarity research, semantic similarity in a taxonomy, linked data semantic distance, linguistics-informed natural language processing, graph neural network, protected features, imbalanced data, causal consistency in distributed databases, actor model, and elastic horizontal scalability.Table of ContentsModelarDB: Integrated Model-Based Management of Time Series from Edge to Cloud.- Variable-Size Segmentation for Time Series Representation.- Semantic Similarity in a Taxonomy by Evaluating the Relatedness of Concept Senses with the Linked Data Semantic Distance.- Constituency-informed and Constituency-constrained Extractive Question Answering with Heterogeneous Graph Transformer.- FAPFID: A Fairness-aware Approach for Protected Features and Imbalanced Data.- D-Thespis: A Distributed Actor-Based Causally Consistent DBMS.
£71.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Grundzüge der Wirtschaftsinformatik
Book SynopsisDiese Einführung in die Wirtschaftsinformatik ist bewusst kompakt gehalten. Dennoch sind alle wesentlichen Teilgebiete dargestellt und die Leitidee der Vernetzung und Integration zieht sich systematisch durch das Buch. Dadurch liefert es einen sehr guten Einblick in die mit IT unterstützten betrieblichen Aufgaben. Ausgehend vom Basiswissen zu Rechnern, ihrer Vernetzung sowie den verfügbaren Diensten werden die Grundlagen des Daten- und Wissensmanagements, von Big Data und KI behandelt. Die Unterstützung betrieblicher Funktionen und Prozesse durch die IT wird erläutert. Dabei wird die IT-basierte Einbindung privater Haushalte berücksichtigt. Neben dem IT-Management zeigen die Autoren, welchen Beitrag die IT zur digitalen Transformation leisten kann, von der Arbeitsplatzebene bis zur Neugestaltung des Geschäftsmodells eines Unternehmens. Das Buch eignet sich für Praktiker, die einen schnellen Überblick erhalten wollen, sowie für Studierende und Lehrende an Hochschulen und Berufsakademien.Neu in der 13. Auflage: Die Konzepte der Digitalisierung, des digitalen Wandels und die Voraussetzungen in Wirtschaft und Gesellschaft (technische Innovationen, Strukturen, Kultur, Steuerung) werden ausführlich dargestellt. Ergänzt wurden die Themen Künstliche Intelligenz, Cloud Computing, Edge Computing, Hochleistungsrechner (Supercomputer) sowie Beispiele zur Automatisierung im Produktionssektor durch Kommunikation zwischen Fertigungsmaschinen, Lagersteuerung, Logistik (Industrie 4.0), aber auch Weiterentwicklungen bei Finanzdienstleistungen (Zahlungsverkehr, Elektronische Handelssysteme, Marktdatensysteme, Kernbankensysteme). Vorgestellt werden moderne Ansätze der Software- und Systementwicklung, wie Agile Methoden oder Low-Code-Lösungen. Table of ContentsEinordnung der Wirtschaftsinformatik.- Technische Grundlagen.- Management von Daten.-Integrierte Anwendungssysteme.- Planung, Realisierung und Einführung von Anwendungssystemen.- Management der Ressource IT.- Digitaler Wandel von Unternehmen.
£26.59
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Data Science: An Introduction to Statistics and
Book SynopsisThis textbook provides an easy-to-understand introduction to the mathematical concepts and algorithms at the foundation of data science. It covers essential parts of data organization, descriptive and inferential statistics, probability theory, and machine learning. These topics are presented in a clear and mathematical sound way to help readers gain a deep and fundamental understanding. Numerous application examples based on real data are included. The book is well-suited for lecturers and students at technical universities, and offers a good introduction and overview for people who are new to the subject. Basic mathematical knowledge of calculus and linear algebra is required.Table of Contents
£47.49
Springer Vieweg Datenbanken und SQL
Book SynopsisÜbersicht über Datenbanken.- Das Relationenmodell.- Datenbankdesign.- Die Zugriffssprache SQL.- Die Beschreibungssprache SQL.- Datenbankprogrammierung mit PHP.- Performance in Datenbanken.- Concurrency und Recovery.- Moderne Datenbankkonzepte.
£34.19
Springer Fachmedien Wiesbaden Computer-Aided Project Management: A Visual
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£43.69
Springer Fachmedien Wiesbaden Grundkurs Datenbankentwurf: Eine
Book SynopsisDie Stimmen zur 1. und zur 2. Auflage bestätigen: Endlich ein Buch, das den Leser wirklich verständlich an die Hand nimmt und sicher zum Ziel führt. Dies gelingt durch konsequente Beispielorientierung und leichte Verständlichkeit. Unterstützt wird der Leser zusätzlich durch den Online-Service. Schritt für Schritt werden die Etappen von der Analyse der Realität, die im Datenmodell abgebildet werden soll, zur Datenbank-Strukturierung aufgezeigt. Besonderer Vorzug sind die illustrativen Anwendungsbeispiele aus verschiedenen Unternehmenszusammenhängen und kaufmännischen Bereichen, zu denen in der 3. Auflage ausführliche Lösungen ergänzt wurden. Das Buch eignet sich für Studenten und Praktiker gleichermaßen, vor allem für Informatiker, Wirtschaftsinformatiker und Betriebswirte.Trade Review"Jarosch geht in seinem Buch ins Detail der Entwicklung eines konzeptionellen Datenmodells und zur konkreten Datenbank, unter Nutzung des Entity-Relationship-Modells. Wer Datenbanksysteme lernt, dürfte davon profitieren." iX, 03/2004Table of ContentsDatenbankentwurf - Von der Realität zum konzeptionellen Datenmodell - Datenbank-Modelle - Vom Datenmodell zur Datenbank - Möglichkeiten und Grenzen des Entity-Relationship-Modells und des relationalen Datenbank-Modells - Aufgaben zum Datenbankentwurf.
£47.49
Not Avail Data-Warehouse-Systeme: Architektur, Entwicklung,
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£39.92
PHI Learning Database Management Systems
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£10.49
PHI Learning Management Information Systems
Book SynopsisThis text provides comprehensive coverage of information systems, addressing design, development, and application issues. It explores technical and organizational aspects, with updated chapters and new features like case studies, references, and learning objectives.
£11.99
Kalpaz Publications Library Database Management
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£29.21
BPB Publications Data Structures Using C
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£14.99
River Publishers Applications of Big Data and Artificial
Book SynopsisIn the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, domestic loads, and industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution, automation, energy regulation & control, and energy trading. This book covers the applications of various big data analytics,artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies for modern power systems such as the Internet of Things, Blockchain for smart home and smart city solutions in depth.Technical topics discussed in the book include:• Hybrid smart energy system technologies• Smart meters• Energy demand forecasting• Use of different protocols and communication in smart energysystems• Power quality and allied issues and mitigation using AI• Intelligent transportation• Virtual power plants• AI based smart energy business models• Smart home solutions• Blockchain solutions for smart grids.Table of Contents1. Introduction to Smart Energy Systems and Recent Trends 2. An Overview of Artificial Intelligence, Big Data, and Internet of Things for Future Energy Systems 3. LoRa: A New Technology for Smart Grid Applications 4. Clustering Hybrid Application for Load Forecasting in Smart Grids 5. Big Data Analytical Techniques for Electrical Energy Forecasting in the Smart Grid Paradigm 6. A Review of Smart Grid Planning Approaches and a New Proposal for operational Planning of a Smart Grid with Smart Homes 7. Smart Meter Data Analytics Case Study: Identification of LV Distribution Network Topology to Design Optimal Planning Solutions 8. Build Smart Grids on Artificial Intelligence: A Real-world Example 9. Artificial Intelligence Enabled Energy-efficient Technologies for Secured Smart Homes 10. A Review of Technologies in Net Zero Energy Building for Islanded Operation
£94.99
United Nations Charter of the United Nations and Statute of the
Book SynopsisThe Charter of the United Nations was signed in 1945 by 51 countries representing all continents, paving the way for the creation of the United Nations on 24 October 1945. The Statute of the International Court of Justice forms part of the Charter. The aim of the Charter is to save humanity from war; to reaffirm human rights and the dignity and worth of the human person; to proclaim the equal rights of men and women and of nations large and small; and to promote the prosperity of all humankind. The Charter is the foundation of international peace and security.
£7.88
United Nations Charter of the United Nations and Statute of the
Book SynopsisThe Charter of the United Nations was signed in 1945 by 51 countries representing all continents, paving the way for the creation of the United Nations on 24 October 1945. The Statute of the International Court of Justice forms part of the Charter. The aim of the Charter is to save humanity from war; to reaffirm human rights and the dignity and worth of the human person; to proclaim the equal rights of men and women and of nations large and small; and to promote the prosperity of all humankind. The Charter is the foundation of international peace and security.
£7.88
United Nations Charter of the United Nations and statute of the
Book SynopsisThe Charter of the United Nations was signed in 1945 by 51 countries representing all continents, paving the way for the creation of the United Nations on 24 October 1945. The Statute of the International Court of Justice forms part of the Charter. The aim of the Charter is to save humanity from war; to reaffirm human rights and the dignity and worth of the human person; to proclaim the equal rights of men and women and of nations large and small; and to promote the prosperity of all humankind. The Charter is the foundation of international peace and security.
£7.88
BPB Publications Linear Programming for Project Management
Book Synopsis
£17.09
BPB Publications IBM DB2 Administration Guide: Installation, Upgrade and Configuration of IBM DB2 on RHEL 8, Windows 10 and IBM Cloud
£37.04
BPB Publications DBA Essentials for 21c: Installing Oracle
Book Synopsis
£23.28
BPB Publications Databricks Lakehouse Platform Cookbook: 100+
Book Synopsis
£26.59
BPB Publications Building Decentralized Blockchain Applications
Book SynopsisExplore the engineering mechanism of blockchain, cryptocurrency, and Ethereum. Know-how of peer-to-peer networks, IPFS, and decentralized databases. Explore the workings of DApps and build your own blockchain app.
£27.99
S Chand & Co Ltd Database Management Systems (DBMS)
Book Synopsis
£16.88
Universities Press Data Science and Analytics with Python
Book SynopsisSalient features: Ideal for undergraduate courses on Data Science and Analytics; Provides step-by-step instructions for setting up the Python environment and executing various libraries and packages;
£28.49
Universities Press Big Data Analytics
Book SynopsisBig Data Analytics is intended for use as a textbook for third- and fourth-year students of B.E., B.Tech., B.Sc., BCA, MCA, and M.Tech. courses in IT, Software, and Computer Science Engineering. The book has been written to help students who enter the software industry to gain a broad understanding of Big Data and the nuances of handling it to extract useful information. Spread across 21 chapters, it elucidates the concept of Big Data and walks the reader through popular frameworks such as Hadoop, MongoDB, Pig and Hive that are used for processing Big Data.
£41.79
Springer Verlag, Singapore Advanced Machine Learning Technologies and
Book SynopsisThis book presents the refereed proceedings of the 5th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2020), held at Manipal University Jaipur, India, on February 13 – 15, 2020, and organized in collaboration with the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic and security, as well as intelligence swarms and optimization. Table of ContentsSegregating and Recognizing Human Actions from Video Footages using LRCN Technique.- Fall Alert: A Novel Approach to Detect Fall.- Evaluation of Automatic Text Visualization Systems: A Case Study.- Face Recognition Based Attendance System using Real Time Computer Vision Algorithms.- The Impact of Knowledge Management Adoption on the Government Sector’s Performance: The Case of Bahrain.- Video Surveillance for the Crime Detection using Features.- Real-time Neural-net Driven Optimized Inverse-kinematics for a Robotic Manipulator.- A Deep Learning Technique to Countermeasure Video Based Presentation Attacks.- Optimization of Loss Functions for Predictive Soil Mapping.- Natural Language Information Extraction through Non Factoid Question and Answering System.- An Enhanced Differential Evolution Algorithm with New Environmental-based Parameters for Solving Optimization Problems.- Reactive Power Optimization Approach based on Chaotic Particle Swarm Optimization.- Data Mining Model for Better Admissions in Higher Educational Institutions (HEIs) – A Case Study of Bahrain.- The Effectiveness of Renewable Energies Projects in Kuwait - PAAET Solar Energy Project.- Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using Mobile Net.- Real-Time Object Detection in Remote Sensing Images using Deep Learning.- Malaria Detection using Convolutional Neural Network.- Drone-Based Face Recognition using Deep Learning.- Traffic Sign Recognition for Self-Driving Cars with Deep Learning.- Identifying the Association Rule to Determine the Possibilities of Cardio Vascular Diseases(CVD).- Prediction of Service Level Agreement Violation in Cloud Computing using Bayesian Regularization.- A New Methodology for Language Identification in Social Media Code-mixed Text.- Detecting Influencers in Social Networks Through Machine Learning Techniques.- Application and Analysis of K-Means Algorithms on a Decision Support Framework for Municipal Solid Waste Management.- Android Rogue Application Detection using Image Resemblance and Reduced LDA.- An Indexed Non-Probability Skyline Query Processing Framework for Uncertain Data.- Analysis of Operational Control Mode of Intelligent Distribution Grids with Multi-microgrid.- Technical Present Situation based on Micro Grid Operation Control.- Skin Lesion Classification: A Transfer Learning Approach Using Efficient Nets.- Change Footprint Pattern Analysis of Crime Hotspot of Indian Districts.- Itemset Mining based Episode Profiling of Terrorist Attacks using Weighted Ontology.- Enabling Technologies in Banking Industry, Regulatory Technology RegTech and Money Laundering Prevention.- A Cognitive Knowledge Base for Learning Disabilities using Concept Analysis.- Native Monkey Detection using Deep Convolution Neural Network.- Evaluation and Summarization of Student Feedbacks Using Sentiment Analysis.- Predicting Competitive Weight Lifting Performance using Regression and Tree-based Algorithms.- Predicting the Primary Dominant Personality Trait of Perceived Leaders by Mapping Linguistic Cues from Social Media Data onto the Big-Five Model.- Analysis of Users behaviour on Micro Blogging Site using a Topic.- Machine Learning Techniques for Short Term Forecasting of Wind Power Generation.- Integrated Process Management System of Smart Substation Secondary Side based on Practical Scheme.- Research on Forms and Strategies of Alternative Energy Achieved.- Lightweight Access Control Algorithm for Internet of Things.- Named Entity Recognition for Legal Documents.- Visual Speech Processing and Recognition.- Predictive Analytics for Cardiovascular Disease Diagnosis using Machine Learning Techniques.- A Novel Approach for Smart Health Care Recommender System.- Heart Disorder Prognosis employing KNN, ANN, ID3 and SVM.- IoT based Home Security System with Wireless Communication.- Implementation of Internet of Things IoT in Small Business Industry: Case of Bahrain.- A Comparative Study of Model-Free Reinforcement Learning Approaches.- Location Aware Security System for Smart Cities using IoT.- An Assessment Study of Gait Biometric Recognition using Machine Learning.- A Study on Risk Management Practices in Online Banking in Bahrain.- Deep Learning Techniques: An Overview.- A Multilayer Deep Learning Framework For Auto-Content Tagging.- Case Based Reasoning (CBR) based Anemia Severity Detection System (ASDS) Using Machine Learning Algorithm.- ECG Signal Analysis, Diagnosis and Transmission.- The Effect of Real-Time Feedback on Consumer’s Behaviour in the Energy Management Sector: Empirical study.- Synchronization Control in Fractional Discrete-Time Systems with Chaotic Hidden Attractors.- Employment of Cryptographic Modus Operandi based on Trigonometric Algorithm and Resistor Color Code.- Experimental & Dimensional Analysis Approach for Human Energy Required In Wood Chipping Process.- Impact of High-k gate dielectric and Workfunctions Variation on Electrical Characteristics of VeSFET.- Correlating Personality Traits to Different Aspects of Facebook Usage.- Fractional Order control of a Fuel Cell-boost Converter System.- Battery Pack Construction Scheme based on UPS System Reliability.- Study on Land Compensation for High Voltage Transmission Lines in Power Grid based on Easement.- Study on the Terrain of Power Network Construction Expropriation and Legal Risk Prevention.
£224.99
Springer Verlag, Singapore Personalized Privacy Protection in Big Data
Book SynopsisThis book presents the data privacy protection which has been extensively applied in our current era of big data. However, research into big data privacy is still in its infancy. Given the fact that existing protection methods can result in low data utility and unbalanced trade-offs, personalized privacy protection has become a rapidly expanding research topic.In this book, the authors explore emerging threats and existing privacy protection methods, and discuss in detail both the advantages and disadvantages of personalized privacy protection. Traditional methods, such as differential privacy and cryptography, are discussed using a comparative and intersectional approach, and are contrasted with emerging methods like federated learning and generative adversarial nets.The advances discussed cover various applications, e.g. cyber-physical systems, social networks, and location-based services. Given its scope, the book is of interest to scientists, policy-makers, researchers, and postgraduates alike.Table of Contents· Chapter 1: Introductiono Privacy research landscape o Personalized privacy overview o Contribution of this book o Remainder of the book · Chapter 2: Current Methods of Privacy Protection o Cryptography based methods o Differential privacy methods o Anonymity-based methods o Clustering-base methods o Machine learning and AI methods · Chapter 3: Privacy Attacks o Attack classification o Rationale of the attacks o The comparison of attacks · Chapter 4: Personalize Privacy Defense o Personalized privacy in cyber-physical systems o Personalized privacy in social networks o Personalized privacy in smart city o Personalized privacy in location-based services o Personalized privacy on the rise · Chapter 5: Future Directions o Trade-off optimization o Decentralized privacy protection o Privacy-preserving federated learning o Federated generative adversarial nets · Chapter6: Summary and Outlook
£49.49
Springer Verlag, Singapore Data Science and Security: Proceedings of IDSCS
Book SynopsisThis book presents the best-selected papers presented at the International Conference on Data Science, Computation and Security (IDSCS-2021), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during April 16–17, 2021. The proceeding is targeting the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.Table of ContentsTowards a Knowledge Centric Semantic Approach for Text Summarization.- Detection of Abnormal Red Blood Cells using Features Dependent on Morphology and Rotation.- A Systematic Review of Challenges and Techniques of Privacy-Preserving Machine Learning.
£161.99
Springer Verlag, Singapore Foundations of Data Science for Engineering
Book SynopsisThis book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.Table of ContentsIntroduction to Data Science.- Data Collection and Preparation.- Data Analysis and Machine learning Algorithms.- Data Visualization Tools and Data Modelling.- Data Science in Information, Communication and Technology.- Data Science in Civil & Mechanical Engineering.- Data Science in Clinical Decision System.- Conclusions.
£104.49
Springer Verlag, Singapore Proceedings of the Forum Math-for-Industry
Book SynopsisThis volume includes selected technical papers presented at the Forum “Math-for-Industry” 2018. The papers written by eminent researchers and academics working in the area of industrial mathematics from the viewpoint of financial mathematics, machine learning, neural networks, inverse problems, stochastic modelling, etc., discuss how the ingenuity of science, technology, engineering and mathematics are and will be expected to be utilized. This volume focuses on the role that mathematics-for-industry can play in interdisciplinary research to develop new methods. The contents are useful for researchers both in academia and industry working in interdisciplinary sectors.Table of ContentsA Brief Review of Some Swarming Models using Stochastic Differential Equations.- Copula-based estimation of Value at Risk for the portfolio problem.- An Overview of Exact Solution Methods for Guaranteed Minimum Death Benefit Options in Variable Annuities.- Determinantal reinforcement learning with techniques to avoid poor local optima.- Surface Denoising based on Normal Filtering in a Robust Statistics Framework.- Mathematical Modeling and Inverse Problem Approaches for Functional.- Clothing Design based on Thermal Mechanism.- Unique continuation on a sphere for Helmholtz equation and its numerical treatments.- Notes on Backward Stochastic Differential Equations for Computing XVA.
£134.99
Springer Verlag, Singapore Advances in Data and Information Sciences:
Book SynopsisThis book gathers a collection of high-quality peer-reviewed research papers presented at the 3rd International Conference on Data and Information Sciences (ICDIS 2021), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on May 14 – 15, 2021. In chapters written by leading researchers, developers, and practitioner from academia and industry, it covers virtually all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it will show readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.Table of ContentsITSA-KNN: Feature Selection Model Based on Improved Tree-Seed Algorithm and K-Nearest Neighbor for Network Intrusion Detection.- Cost-Effectiveness of Using Tablets for Digital Literacy Training in Tribal Areas of Rajasthan.- Multi-class weather classification: Comparative analysis of Machine learning algorithms.- Deep Learning Based Chatbot Framework ForMental Health Therapy.- Heart Disease Prediction using Core Machine Learning Techniques – A Comparative Study.- Predicting the presence of newt-amphibian using genetic programming.- Prediction of annual Indian Summer Monsoon Rainfall (ISMR) using Parametric Deep learning model.- Early-Stage Detection of Liver Disease through Machine Learning Algorithms.- Applications of High Dimensional Neural Networks: A Survey.- Breast Cancer Classification With Random Forest Classifier With Feature Decomposition Using Principal Component Analysis.- DDNA: A Modified Concept to DNA Cryptography.- A Comprehensive Study of AI-based Steganalysis Techniques on Image and Text Documents.- Image Tampering Forgery Detection using Convolutional Neural Network with Blockchain.
£116.99
Springer Verlag, Singapore Practical Guide to Life Science Databases
Book SynopsisThis book provides the latest information of life science databases that center in the life science research and drive the development of the field. It introduces the fundamental principles, rationales and methodologies of creating and updating life science databases. The book brings together expertise and renowned researchers in the field of life science databases and brings their experience and tools at the fingertips of the researcher. The book takes bottom-up approach to explain the structure, content and the usability of life science database. Detailed explanation of the content, structure, query and data retrieval are discussed to provide practical use of life science database and to enable the reader to use database and provided tools in practice. The readers will learn the necessary knowledge about the untapped opportunities available in life science databases and how it could be used so as to advance basic research and applied research findings and transforming them to the benefit of human life.Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Table of ContentsChapter 1: GENCODE Annotation for the Human and Mouse Genome: A User Perspective.- Chapter 2: Genecard a database for gene annotation.- Chapter 3: IHEC: International human epigenome portal.- Chapter 4: Atlas of miRNAs and their Promoters in Human and Mouse.- Chapter 5: RefEX- Reference Expression Dataset.- Chapter 6: The mouse Gene Expression Database.- Chapter 7: ChIP-Atlas.- Chapter 8: Protein structural changes based on structural comparison.- Chapter 9: Single Cell Databases: an Emerging and Essential Tool.- Chapter 10: scIVA: Single Cell Interactive Visualisation and Analysis Data Mining Platform.- Chapter 11: Access and visualise high quality gene expression data with Stemformatics.- Chapter 12: Introduction to Practical Guide to Life Science Databases.
£378.00
Springer Verlag, Singapore Proceedings of Data Analytics and Management:
Book SynopsisThis book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.Table of ContentsCNN Based Feature Extraction for Visual Speech Recognition in Malayalam.- Effective Rate of Minority Class Over-Sampling for Maximizing the Imbalanced Dataset.- Spectral Efficiency Analysis of Massive MIMO.- Dental Cavity Detection using YOLO.- Development of Data Set for Automatic News Telecast System for Deaf Using ISL Videos.- A Comprehensive Survey on Content Based Image Retrieval using Machine Learning.- Machine Learning Techniques for Keystroke Dynamics.- Artificial Neural Network Approach for Multimodal Biometric Authentication System.- Malware Classification and Defence Against Adversarial Attacks.- Test Suite minimization based upon CMIMX and ABC.- Comparative Analysis on Machine Learning Methodologies for the Effective Usage of Medical WSNs.- Convolutional Neural Networks for Malaria Image Classification.- Plant Leaf Disease Identification and Prescription Suggestion Using Deep Learning.- Efficient Spectrum Allocation in Wireless Networks Using Channel Aggregation Fragmentation with Reservation Channels.- Toxic Comment Classification using Bi-Directional GRUs & CNN.- Climate Dependent Crop Management through Data Modeling.- Translate2Classify: Machine Translation for E-Commerce Product Categorization in comparison to Machine Learning & Deep Learning Classification.- Multimodal Biometric Authentication by Slap Swarm based Score Level Fusion.- Hybrid Metaheuristic Algorithm based Clustering with Multi-hop Routing Protocol for Wireless Sensor Networks.
£197.99
Springer Verlag, Singapore Proceedings of Data Analytics and Management:
Book SynopsisThis book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.Table of ContentsPsychological stress and mental health among seafarers.- Real Time Face-Mask Detection and Analysis System.- Gait Recognition Biometric System.- Fighting Media Hyper-partisanship with Modern Language Representation Models.- ANN Based Handwritten Digit Recognition and Equation Solver.- Hyperspectral Imaging in Document Forgery.- Optimized Usability Features of Academic Websites using Chicken Swarm and Cat Swarm Optimization Algorithm.- Study and Development of Self Sanitizing Smart Elevator.- Predict COVID-19 with Chest X-ray.- Image Segmentation Techniques: A Survey.- Quantum Inspired Support Vector Machines for Human Activity Recognition in Industry 4.0.- Hybrid System based on Genetic Algorithm and Neuro-Fuzzy Approach for Neurodegenerative Disease Forecasting.- Decentralized Library Management system using Blockchain technology.- Content based Image Retrieval using Deep Learning.- A Deep Learning-Based Feature Extraction Model for Classification Brain Tumor.- Image Classification in Python using Keras.- Predictive Analytics on E-commerce Annual Sales.- A Survey on Deep Learning Methods in Image Analytics.- Journey of Letters to Vectors through Neural Networks.- Accident Risk Prediction and Location Tracking of a Vehicle using Real-Time Data Acquisition from Vehicle Sensors.- Data Augmentation and Fine Tuning the radiography images to detect COVID-19 patients with pre-trained network of Transfer Learning.- Index Optimization using Wavelet Tree and Compression.
£161.99
Springer Verlag, Singapore Proceedings of International Conference on
Book SynopsisThis book covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing. This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2021).Table of ContentsGenetic Algorithm based vaccine optimization technique to control COVID-19.- Ethereum MongoDB: Integrating Blockchain with Non-Relational Databases.- Attention based Discrimination of Mycoplasma Pneumonia.- Minimum Weight Dominating Set using Chemical Reaction Optimization Algorithm.- A Hybrid Domain Fragile Watermarking Techniques for Authentication of Color Images.- IOT based Carbon Monoxide Monitoring Model for Transportation Vehicles.- TWEERIFY: A Web based Sentiment Analysis System using Rule and Deep Learning Techniques.- Machine Learning Based Fake News Detection on Covid-19 Tweets Data.- ADVERSE EFFECT OF ELECTROMAGNETICFREQUENCY ON HUMAN BEING HEALTH UNDER REAL LIFE SCENARIO: A COMPARATIVE STUDY.
£143.99
Springer Verlag, Singapore Proceedings of the Fifth International Conference
Book SynopsisThis book (in three volumes) comprises the proceedings of the Fifth Conference of Transportation Research Group of India (CTRG2019) focusing on emerging opportunities and challenges in the field of transportation of people and freight. The contents of the volume include characterization of conventional and innovative pavement materials, operational effects of road geometry, user impact of multimodal transport projects, spatial analysis of travel patterns, socio-economic impacts of transport projects, analysis of transportation policy and planning for safety and security, technology enabled models of mobility services, etc. This book will be beneficial to researchers, educators, practitioners and policy makers alike.
£179.99
Springer Verlag, Singapore Computational Intelligence in Machine Learning:
Book SynopsisThe book includes select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2021). The book constitutes peer-reviewed papers on machine learning, computational intelligence, the internet of things, and smart city applications emphasizing multi-disciplinary research in artificial intelligence and cyber-physical systems. This book addresses the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. The book will be useful for researchers, research scholars, and students to formulate their research ideas and find future directions in these areas. It will help the readers to solve a diverse range of problems in industries and their real-world applications.Table of ContentsMachine Learning-based Project Resource Allocation Fitment Analysis System – (ML-PRAFS).- Electric Theft Detection using Un-supervised Machine Learning Based Matrix Profile and K Means Clustering Technique.- Placement Analysis – A New Approach to Ease the Recruitment Process.- Continuous Assessment Analyzer using Django.- Fuzzy Logic in Battery Energy Storage System (Bess).- Fault Classification of Cooling Fans using a CNN-based Approach.- Violence Recognition using Convolutional Neural Networks.- Automated Grading of Citrus Suhuiensis Fruit using Deep Learning Method.- The Future of Car Automation Field with Smart Driverless Technologies.- Diagnosis and Medicine Prediction for Covid-19 using Machine Learning Approach.- Automated Guided Vehicle Robot Localization with Sensor Fusion.- Implementation of Industrial Automation Water Distribution System Utilizing PLC: A Laboratory Set-up.- Control of Thin McKibben Muscles in an Antagonistic Pair Configuration.- Defect Severity Classification of Complex Composites using CWT and CNN.- Detection of Mobile Phone Usage While Driving using Computer Vision and Deep Learning.- Industry Revolution 4.0 Knowledge Assessment in Malaysia.
£332.49
Springer Verlag, Singapore Artificial Intelligence with Python
Book SynopsisEntering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience. The concepts used in self-driving cars and virtual assistants like Amazon’s Alexa may seem very complex and difficult to grasp. The aim of Artificial Intelligence in Python is to make AI accessible and easy to understand for people with little to no programming experience though practical exercises. Newcomers will gain the necessary knowledge on how to create such systems, which are capable of executing tasks that require some form of human-like intelligence. This book introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. Python programming skills will be imparted as we go along. Concepts and code snippets will be covered in a step-by-step manner, to guide and instill confidence in beginners. Complex subjects in deep learning and machine learning will be broken down into easy-to-digest content and examples. Artificial intelligence implementations will also be shared, allowing beginners to generate their own artificial intelligence algorithms for reinforcement learning, style transfer, chatbots, speech, and natural language processing.Table of ContentsPart I Python.- 1 About Python.- 2 What’s Python?.- 3 An Introductory Example.- 4 Basic Python.- 5 Intermediate Python.- 6 Advanced Python.- 7 Python for data analysis.- Part II Artificial Intelligence Basics.- 8 Introduction to artificial intelligence.- 9 Data wrangling.- 10 Regression.- 11 Classification.- 12 Clustering.- 13 Association Rules.- Part III Artificial Intelligence.- Implementations.- 14 Text Mining.- 15 Image Processing.- 16 Convolutional Neural Networks.- 17 Chatbot, Speech and NLP.- 18 Deep Convolutional Generative Adversarial Network.- 19 Neural style transfer.- 20 Reinforcement learning.- 21 References.
£45.55
Springer Verlag, Singapore Nutrigenomics and the Brain
Book SynopsisDr. Mohammed Salama is Atlantic senior fellow for Equity in brain health at the Global Brain Health Institute (GBHI) and Associate professor at the Institute of Global Health and Human Ecology at the American University in Cairo (AUC). He established the first Translational Neuroscience Unit in Egypt. Mohamed’s collaborative research led to establishing the Egyptian Network for Neurodegenerative Disorders Mohamed was selected as a SOT Global Senior Scholar in 2013 and Translational/bridging awardee in 2016. He was awarded by Parkinson’s and Movement Disorders Foundation (PMDF) for his continued research in neurodegeneration. Recently, Mohamed and his colleagues succeeded in drafting the first Reference Egyptian Genome and collaborating with other colleagues to start a national cohort (A Longitudinal Study of Egyptian Health Aging [AL-SEHA]). Table of ContentsChapter 1. Nutrigenomics; a broader concept.- Chapter 2. Gene-environment interaction.- Chapter 3. Gene-gut-brain - axis (gene–based personalized medicine).- Chapter 4. Nutrigenomics of aging.- Chapter 5. Nutrigenomics and Mental health.- Chapter 6. Nutrigenomics and neurodevelopmental disorders.- Chapter 7. Nutrigenomics and Alzheimer’s disease.- Chapter 8. Nutrigenomics and Parkinson’s Disease.- Chapter 9. Nutrigenomics, nutrigenetics and big data.- Chapter 10. Nutrigenomics and Development.- Chapter 11. Early Child malnutrition and neurodevelopment.- Chapter 12. The emerging role of vit D deficiency and Parkinson’s Disease risk.- Chapter 13. Nutrigenomics and autophagy crosstalk.- Chapter 14. Nanoparticles in food additives and brain health.
£151.99
