Information architecture Books
College Publications An Introduction to Ontology Engineering
£30.88
Springer International Publishing AG The Huawei and Snowden Questions: Can Electronic Equipment from Untrusted Vendors be Verified? Can an Untrusted Vendor Build Trust into Electronic Equipment?
Book SynopsisThis open access book answers two central questions: firstly, is it at all possible to verify electronic equipment procured from untrusted vendors? Secondly, can I build trust into my products in such a way that I support verification by untrusting customers? In separate chapters the book takes readers through the state of the art in fields of computer science that can shed light on these questions. In a concluding chapter it discusses realistic ways forward. In discussions on cyber security, there is a tacit assumption that the manufacturer of equipment will collaborate with the user of the equipment to stop third-party wrongdoers. The Snowden files and recent deliberations on the use of Chinese equipment in the critical infrastructures of western countries have changed this. The discourse in both cases revolves around what malevolent manufacturers can do to harm their own customers, and the importance of the matter is on par with questions of national security.This book is of great interest to ICT and security professionals who need a clear understanding of the two questions posed in the subtitle, and to decision-makers in industry, national bodies and nation states. Table of Contents1 Introduction: 1.1 A New Situation.- 1.2 What are we Afraid of?.- 1.3 Huawei and ZTE.- 1.4 Trust in Vendors.- 1.5 Points of Attack.- 1.6 Trust in Vendors is Different from Computer Security.- 1.7 Why the Problem is Important.- 1.8 Advice for Readers.- 2 Trust: 2.1 Prisoner's Dilemma.- 2.2 Trust and Game Theory.- 2.3 Trust and Freedom of Choice.- 2.4 Trust, Consequence and Situation.- 2.5 Trust and Security.- 2.6 Trusted Computing Base---Trust between Components.- 2.7 Discussion.- 3 What is an ICT-System?: 3.1 Transistors and Integrated Circuits.- 3.2 Memory and Communication.- 3.3 Processors and Instruction Sets.- 3.4 Firmware.- 3.5 Operating Systems, Device Drivers, Hardware Adaptation Layers and Hypervisors.- 3.6 Bytecode Interpreters.- 3.7 The Application on Top.- 3.8 Infrastructures and Distributed Systems.- 3.9 Discussion.- 4 Development of ICT Systems: 4.1 Software Development.- 4.2 Hardware Development .- 4.3 Security Updates and Maintenance.- 4.4 Discussion.- 5 Theoretical Foundation: 5.1 Gödel and the Liar's Paradox.- 5.2 Turing and the Halting Problem.- 5.3 Decidability of Malicious Behaviour.- 5.4 Is there Still Hope?.- 5.5 Where does this Lead Us?.- 6 Reverse Engineering of Code: 6.1 Application of Reversing in ICT.- 6.2 Static Code Analysis.- 6.3 Disassemblers.- 6.4 Decompilers.- 6.5 Debuggers.- 6.6 Antireversing.- 6.7 Hardware.- 6.8 Discussion.- 7 Static Detection of Malware: 7.1 Classes of Malware.- 7.2 Signatures, and Static Code Analysis.- 7.3 Encrypted and Oligomorphic Malware.- 7.4 Obfuscation Techniques.- 7.5 Polymorphic and Metamorphic Malware.- 7.6 Heuristic Approaches.- 7.7 Malicious Hardware.- 7.8 Specification Based Techniques.- 7.9 Discussion.- 8 Dynamic Detection Methods: 8.1 Dynamic Properties.- 8.2 Unrestricted Execution.- 8.3 Emulator Based Analysis.- 8.4 Virtual Machines.- 8.5 Evasion Techniques.- 8.6 Analysis.- 8.7 Hardware.- 8.8 Discussion.- 9 Formal Methods: 9.1 Formal Methods Overview.- 9.2 Specification.- 9.3 Programming Languages.- 9.4 Hybrid Programming and Specification Languages.- 9.5 Semantic Translation.- 9.6 Logics.- 9.7 Theorem Proving and Model Checking.- 9.8 Proofcarrying Code.- 9.9 Conclusion.- 10 Software Quality and Quality Management: 10.1 What is Software Quality Management?.- 10.2 Software Development Process.- 10.3 Software Quality Models.- 10.4 Software Quality Management.- 10.5 Software Quality Metrics.- 10.6 Standards.- 10.7 Common Criteria (ISO/IEC-15408).- 10.8 Software Testing.- 10.9 Verification through Formal Methods.- 10.10 Code Review.- 10.11 Discussion.- 11 Containment of Untrusted Modules: 11.1 Overview.- 11.2 Partial Failures and Fault Models.- 11.3 Erlang---a Programming Language Supporting Containment.- 11.4 Microservices---an Architecture Model Supporting Containment.- 11.5 Hardware Containment.- 11.6 Discussion.- 12 Summary and Way Forward: 12.1 Summary of Findings.- 12.2 Way Forward.- 12.3 Concluding Remarks.
£21.53
Unknown scalable Data Engineering in AI
Book Synopsis
£999.99
Nirm D. Crack the Data Analyst Interview
£11.48
Richa Publishing Minds Designing Modern Data Systems
£39.42
Independently Published SQL Performance Engineering
£14.61
Independently Published DAX for Business Intelligence
£18.98
Independently Published Power Bi in the Fabric Era
£13.15
Independently Published Natural Language Processing with spaCy
£14.53
Independently Published Microsoft Fabric Architecture Patterns
£21.62
Independently Published Mastering Data Modeling with power BI
£13.68
Independently Published Modern Data Engineering for LLMs
£20.61
Amazon Digital Services LLC - Kdp Internal Audit for Civil Defence Projects with Excel
£21.30
Amazon Digital Services LLC - Kdp Samsung Galaxy Tab S10 Ultra User Guide
£14.39
Independently Published Computer networking essentials VOL1
£999.99
Independently Published 3 Books in 1 Mastering Data Analytics Visualization and Communicating Data 2025
£999.99
Amazon Digital Services LLC - Kdp Fundamentals of Data Governance
£33.12
Amazon Digital Services LLC - Kdp From Zero to Hero in R
£56.70
Independently Published Introduction to YAML: Demystifying YAML Data Serialization Format
£14.11
Princeton University Press Individualbased Modeling and Ecology
Book SynopsisIndividual-based models are widely used tool for ecology. This book provides the treatment of individual-based modeling and its use to develop theoretical understanding of how ecological systems work, an approach the authors call "individual-based ecology."Trade Review"The authors establish an effective and coherent framework for using individual-based modelling."--Nikita Y. Ratanov, Mathematical Reviews "An excellent book, which aims to invigorate individual-based modeling ... by providing a clear theoretical framework for the subject--which they term individual-based ecology (IBE)--and a step-by-step guide to creating individual-based models (IBMs) within this framework... I think this is a very timely book, and I recommend it to anyone new or old to the subject."--Richard Stillman, Quarterly Review of Biology "The book very successfully link[s] various 'universes' ranging from fundamental concepts in ecology and complex systems research to hands-on technical and recipe-like suggestions on how to build a model, illustrated with numerous, well-chosen examples."--Janine Bolliger, Landscape Ecology "For anyone who wants to know more about and possibly incorporate IBMs in his own research, this book provides plenty of advice and guidance on how to formulate, analyze, and use such models. If IBMs do ultimately reach the potential envisioned by the authors, their seminal book will have done much to contribute to that success."--Jim M. Cushing, Zentralblatt MATH "This book establishes an effective and coherent conceptual and technical framework for individual-based modeling with the objective to develop and illustrate an approach for addressing how individual behaviors and system dynamics emerge from lower-level traits."--Janine Bolliger, Landscape Ecology "Given the solid conceptual foundation of the book and the wide range of IBM applications in fish ecology, I think that many fish biologists will find this book very useful and I recommend it warmly."--Geir Huse, Fish and FisheriesTable of ContentsPreface xi Acknowledgments xv PART 1.MODELING 1 Chapter 1. Introduction 3 1.1 Why Individual-based Modeling and Ecology? 3 1.2 Linking Individual Traits and System Complexity: Three Examples 5 1.3 Individual-based Ecology 9 1.4 Early IBMs and Their Research Programs 11 1.5 What Makes a Model an IBM? 13 1.6 Status and Challenges of the Individual-based Approach 15 1.7 Conclusions and Outlook 19 Chapter 2. A Primer to Modeling 22 2.1 Introduction 22 2.2 Heuristics for Modeling 24 2.3 The Modeling Cycle 27 2.4 Summary and Discussion 36 Chapter 3. Pattern-oriented Modeling 38 3.1 Introduction 38 3.2 Why Patterns, and What Are Patterns? 40 3.3 The Tasks of Pattern-oriented Modeling 41 3.4 Discussion 48 PART 2.INDIVIDUAL-BASED ECOLOGY 51 Chapter 4. Theory in Individual-based Ecology 53 4.1 Introduction 53 4.2 Basis for Theory in IBE 55 4.3 Goals of IBE Theory 56 4.4 Theory Structure 58 4.5 Theory Development Cycle 60 4.6 Example: Development of Habitat Selection Theory for Trout 63 4.7 Summary and Discussion 68 Chapter 5. A Conceptual Framework for Designing Individual-based Models 71 5.1 Introduction 71 5.2 Emergence 73 5.3 Adaptive Traits and Behavior 79 5.4 Fitness 84 5.5 Prediction 91 5.6 Interaction 95 5.7 Sensing 98 5.8 Stochasticity 101 5.9 Collectives 105 5.10 Scheduling 109 5.11 Observation 116 5.12 Summary and Conclusions 117 5.13 Conceptual Design Checklist 119 Chapter 6. Examples 122 6.1 Introduction 122 6.2 Group and Social Behavior 125 6.3 Population Dynamics of Social Animals 145 6.4 Movement: Dispersal and Habitat Selection 163 6.5 Regulation of Hypothetical Populations 178 6.6 Comparison with Classical Models 187 6.7 Dynamics of Plant Populations and Communities 199 6.8 Structure of Communities and Ecosystems 218 6.9 Artificially Evolved Traits 234 6.10 Summary and Conclusions 242 PART 3.THE ENGINE ROOM 245 Chapter 7. Formulating Individual-based Models 247 7.1 Introduction 247 7.2 Contents of an IBM Formulation 248 7.3 Formulating an IBM's Spatial Elements 249 7.4 Formulating Logical and Probabilistic Rules 253 7.5 Formulating Adaptive Traits 255 7.6 Controlling Uncertainty 260 7.7 Using Object-oriented Design and Description 262 7.8 Using Mechanistic and Discrete Mathematics 264 7.9 Designing Superindividuals 266 7.10 Summary and Conclusions 269 Chapter 8. Software for Individual-based Models 270 8.1 Introduction 270 8.2 The Importance of Software Design for IBMs 273 8.3 Software Terminology and Concepts 274 8.4 Software Platforms 279 8.5 Software Testing 288 8.6 Moving Software Development Forward 294 8.7 Important Implementation Techniques 301 8.8 Some Favorite Software Myths 306 8.9 Summary and Conclusions 308 Chapter 9. Analyzing Individual-based Models 312 9.1 Introduction 312 9.2 Steps in Analyzing an IBM 313 9.3 General Strategies for Analyzing IBMs 315 9.4 Techniques for Analyzing IBMs 319 9.5 Statistical Analysis 327 9.6 Sensitivity and Uncertainty Analysis 335 9.7 Robustness Analysis 336 9.8 Parameterization 341 9.9 Independent Predictions 345 9.10 Summary and Conclusions 346 Chapter 10. Communicating Individual-based Models and Research 349 10.1 Introduction 349 10.2 Types of IBE Work to Communicate 350 10.3 Complete and Efficient Model Description 351 10.4 Common Review Comments 354 10.5 Visual Communication of Executable Models 356 10.6 Communicating Software 358 10.7 Summary and Conclusions 359 PART 4.CONCLUSIONS AND OUTLOOK 363 Chapter 11. Using Analytical Models in Individual-based Ecology 365 11.1 Introduction 365 11.2 Classifications of Ecological Models 366 11.3 Benefits of Analytical Models 368 11.4 Analytical Approximation of IBMs 369 11.5 Using Analytical Models to Understand and Analyze IBMs 372 11.6 Summary and Discussion 379 Chapter 12. Conclusions and Outlook for Individual-based Ecology 380 12.1 Introduction 380 12.2 Why Do We Need IBE? 381 12.3 How Is IBE Different From Traditional Ecology? 382 12.4 What Can Ecology Contribute to the Science of Complex Systems? 387 12.5 A Visit to the Individual-based Ecology Laboratory 388 Glossary 391 References 395 Index 421
£69.70
Princeton University Press Computational Economics
Book SynopsisDesigned to help move from verbal to mathematical to computational representations in economic modeling, this book is organized around economic topics as macroeconomics, microeconomics, and finance. It employs software systems, including MATLAB, Mathematica, GAMS, the nonlinear programming solver in Excel, and the database systems in Access.Trade Review"Important and useful... [T]his book represents an excellent way to learn computational economics, doing it."--Pietro Terna, Journal of Artificial Societies and Social SimulationTable of ContentsPreface ix Introduction 1 PART I: Once Over Lightly ... Growth Chapter 1: Growth Model in Excel 9 Finance Chapter 2: Neural Nets in Excel 25 Microeconomics Chapter 3: PartIal Equilibrium in Mathematica 37 Chapter 4: Transportation in GAMS 55 Database Chapter 5: Databases in Access 67 Finance Chapter 6: Thrift in GAMS (with Genevieve Solomon) 91 Chapter 7: Portfolio Model in MATLAB 119 PART II: Once More ... Microeconomics Chapter 8: General Equilibrium Models in GAMS 149 Game Theory Chapter 9: Cournot Duopoly in Mathematica (with Daniel Gaynor) 173 Chapter 10: Stackelberg Duopoly in Mathematica (with Daniel Gaynor) 189 Chapter 11: Genetic Algorithms and Evolutionary Games in MATLAB 201 Finance Chapter 12: Genetic Algorithms and Portfolio Models in MATLAB 223 Macroeconomics Chapter 13: Macroeconomics in GAMS 247 Agent-Based Computational Economics Chapter 14: Agent-Based Model in MATLAB 267 Environmental Economics Chapter 15: Global Warming in GAMS 291 Dynamic Optimization Chapter 16: Dynamic Optimization in MATLAB 309 PART III: Special Topic:tochastic Control Stochastic Control Chapter 17: Stochastic Control in Duali 339 Chapter 18: Rational Expectations Macro in Duali 361 APPENDIXES A. Running GAMS 389 B. Running Mathematica 391 C. Running the Solver in Excel 393 D. Ordered Sets in GAMS 394 E. Linearization and State-Space Representation of Hall and Taylor's Model 396 F. Introduction to Nonlinear Optimization Solvers 403 G. Linear Programming Solvers 407 H. The Stacking Method in GAMS 411 I. Running MATLAB 413 J. Obtaining the Steady State of the Growth Model 414 References 417 Index 425
£103.50
Princeton University Press Dynamic Models in Biology
Book SynopsisFrom controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes. Many universities are starting undergraduate programs in computational biology to introduce students to this rapidly growing field. In Dynamic Models in Biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist Stephen Ellner and mathematician John Guckenheimer teach students how to understand, build, and use dynamic models in biology. Developed from a course taught by Ellner and Guckenheimer at Cornell University, the book is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels. The authors cover both simple analytic models--the sort usually found in mathematical biology texts--and the complex computational models now used by both biologists and mathematicians. Linked to a Web site with computer-lab materials and exercises, Dynamic Models in Biology is a major new introduction to dynamic models for students in the biological sciences, mathematics, and engineering.Trade Review"What is remarkable about Dynamic Models in Biology is that it truly speaks to students of biological sciences. It puts biology first, and then tries to explain how mathematical tools can explain biological phenomena. Nothing else I've seen does this anywhere near as well. The authors have combined their experience to produce and excellent textbook."--Bill Satzer, MAA Reviews "This is a great book and I expect that it will play an important role in the teaching of mathematical biology and the development of the next generation of mathematical biologists for many years to come."--Marc Mangel, SIAM Review "Dynamic Models in Biology stands apart from existing textbooks in mathematical biology largely because of its interdisciplinary approach and its hands-on, project-oriented case studies and computer laboratories. In an effort to explore biology in more detail, the authors bravely chose a style that differs from the classical biomath texts ... whose focus is more on formal mathematics."--Lewi Stone, BioScience "The book begins with a stellar overview of the purpose of modeling, contrasting statistical with dynamical models, and theoretical with practical models both clearly and even-handedly...[E]ngaging the full breadth and depth of this book could be an education for both instructors and students alike."--Frederick R. Adler, Mathematical Biosciences "[S]tudents from both biology and mathematics can gain much from this book. Dynamic Models in Biology would be appropriate for use in a semester or two-quarter course; however, with judicious selection of topics, it can be used in a quarter. My students included undergraduates in biology with knowledge only of calculus, undergraduates in mathematics, and graduate students and academic staff in biology, all enrolled on a ten-week course... Overall, Dynamic Models in Biology fills an important niche in the biological modeling canon. It occupies a place on my shelf next to Edelstein-Keshet (1988) and Murray (1989), and like them, will become a well-thumbed reference."--Carole L. Hom, Environmental ConservationTable of ContentsList of Figures ix List of Tables xiv Preface xvi Chapter 1: What Are Dynamic Models? 1 1.1 Descriptive versus Mechanistic Models 2 1.2 Chinook Salmon 4 1.3 Bathtub Models 6 1.4 Many Bathtubs: Compartment Models 7 1.4.1 Enzyme Kinetics 8 1.4.2 The Modeling Process 11 1.4.3 Pharmacokinetic Models 13 1.5 Physics Models: Running and Hopping 16 1.6 Optimization Models 20 1.7 Why Bother? 21 1.8 Theoretical versus Practical Models 24 1.9 What's Next? 26 1.10 References 28 Chapter 2: Matrix Models and Structured Population Dynamics 31 2.1 The Population Balance Law 32 2.2 Age-Structured Models 33 2.2.1 The Leslie Matrix 34 2.2.2 Warning: Prebreeding versus Postbreeding Models 37 2.3 Matrix Models Based on Stage Classes 38 2.4 Matrices and Matrix Operations 42 2.4.1 Review of Matrix Operations 43 2.4.2 Solution of the Matrix Model 44 2.5 Eigenvalues and a Second Solution of the Model 44 2.5.1 Left Eigenvectors 48 2.6 Some Applications of Matrix Models 49 2.6.1 Why Do We Age? 49 2.6.2 Elasticity Analysis and Conservation Biology 52 2.6.3 How Much Should We Trust These Models? 58 2.7 Generalizing the Matrix Model 59 2.7.1 Stochastic Matrix Models 59 2.7.2 Density-Dependent Matrix Models 61 2.7.3 Continuous Size Distributions 63 2.8 Summary and Conclusions 66 2.9 Appendix 67 2.9.1 Existence and Number of Eigenvalues 67 2.9.2 Reproductive Value 67 2.10 References 68 Chapter 3: Membrane Channels and Action Potentials 71 3.1 Membrane Currents 72 3.1.1 Channel Gating and Conformational States 74 3.2 Markov Chains 77 3.2.1 Coin Tossing 78 3.2.2 Markov Chains 82 3.2.3 The Neuromuscular Junction 86 3.3 Voltage-Gated Channels 90 3.4 Membranes as Electrical Circuits 92 3.4.1 Reversal Potential 94 3.4.2 Action Potentials 95 3.5 Summary 103 3.6 Appendix: The Central Limit Theorem 104 3.7 References 106 Chapter 4: Cellular Dynamics: Pathways of Gene Expression 107 4.1 Biological Background 108 4.2 A Gene Network That Acts as a Clock 110 4.2.1 Formulating a Model 111 4.2.2 Model Predictions 113 4.3 Networks That Act as a Switch 119 4.4 Systems Biology 125 4.4.1 Complex versus Simple Models 129 4.5 Summary 131 4.6 References 132 Chapter 5: Dynamical Systems 135 5.1 Geometry of a Single Differential Equation 136 5.2 Mathematical Foundations: A Fundamental Theorem 138 5.3 Linearization and Linear Systems 141 5.3.1 Equilibrium Points 141 5.3.2 Linearization at Equilibria 142 5.3.3 Solving Linear Systems of Differential Equations 144 5.3.4 Invariant Manifolds 149 5.3.5 Periodic Orbits 150 5.4 Phase Planes 151 5.5 An Example: The Morris-Lecar Model 154 5.6 Bifurcations 160 5.7 Numerical Methods 175 5.8 Summary 181 5.9 References 181 Chapter 6: Differential Equation Models for Infectious Disease 183 6.1 Sir Ronald Ross and the Epidemic Curve 183 6.2 Rescaling the Model 187 6.3 Endemic Diseases and Oscillations 191 6.3.1 Analysis of the SIR Model with Births 193 6.3.2 Summing Up 197 6.4 Gonorrhea Dynamics and Control 200 6.4.1 A Simple Model and a Paradox 200 6.4.2 The Core Group 201 6.4.3 Implications for Control 203 6.5 Drug Resistance 206 6.6 Within-Host Dynamics of HIV 209 6.7 Conclusions 213 6.8 References 214 Chapter 7: Spatial Patterns in Biology 217 7.1 Reaction-Diffusion Models 218 7.2 The Turing Mechanism 223 7.3 Pattern Selection: Steady Patterns 226 7.4 Moving Patterns: Chemical Waves and Heartbeats 232 7.5 References 241 Chapter 8: Agent-Based and Other Computational Models for Complex Systems 243 8.1 Individual-Based Models in Ecology 245 8.1.1 Size-Dependent Predation 245 8.1.2 Swarm 247 8.1.3 Individual-Based Modeling of Extinction Risk 248 8.2 Artificial Life 252 8.2.1 Tierra 253 8.2.2 Microbes in Tierra 255 8.2.3 Avida 257 8.3 The Immune System and the Flu 259 8.4 What Can We Learn from Agent-Based Models? 260 8.5 Sensitivity Analysis 261 8.5.1 Correlation Methods 264 8.5.2 Variance Decomposition 266 8.6 Simplifying Computational Models 269 8.6.1 Separation of Time Scales 269 8.6.2 Simplifying Spatial Models 272 8.6.3 Improving the Mean Field Approximation 276 8.7 Conclusions 277 8.8 Appendix: Derivation of Pair Approximation 278 8.9 References 279 Chapter 9: Building Dynamic Models 283 9.1 Setting the Objective 284 9.2 Building an Initial Model 285 9.2.1 Conceptual Model and Diagram 286 9.3 Developing Equations for Process Rates 291 9.3.1 Linear Rates: When and Why? 291 9.3.2 Nonlinear Rates from "First Principles" 293 9.3.3 Nonlinear Rates from Data: Fitting Parametric Models 294 9.3.4 Nonlinear Rates from Data: Selecting a Parametric Model 298 9.4 Nonlinear Rates from Data: Nonparametric Models 302 9.4.1 Multivariate Rate Equations 304 9.5 Stochastic Models 306 9.5.1 Individual-Level Stochasticity 306 9.5.2 Parameter Drift and Exogenous Shocks 309 9.6 Fitting Rate Equations by Calibration 311 9.7 Three Commandments for Modelers 314 9.8 Evaluating a Model 315 9.8.1 Comparing Models 317 9.9 References 320 Index 323
£999.99
Princeton University Press Modeling with Data
Book SynopsisExplains how to execute computationally intensive analysis on very large data sets. This book shows readers how to determine some of the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results.Trade Review"This book presents an original, cheap and powerful solution to the problem of analysis of large data sets... The book is devoted mainly to the practitioner of Statistics, but is also useful to mathematicians, computer scientists, researchers and students in the biology, economics and social sciences."--Radu Trimbitas, StudiaUBBTable of ContentsPreface xi Chapter 1. Statistics in the modern day 1 PART I COMPUTING 15 Chapter 2. C 17 2.1 Lines 18 2.2 Variables and their declarations 28 2.3 Functions 34 2.4 The debugger 43 2.5 Compiling and running 48 2.6 Pointers 53 2.7 Arrays and other pointer tricks 59 2.8 Strings 65 2.9 *Errors 69 Chapter 3. Databases 74 3.1 Basic queries 76 3.2 *Doing more with queries 80 3.3 Joins and subqueries 87 3.4 On database design 94 3.5 Folding queries into C code 98 3.6 Maddening details 103 3.7 Some examples 108 Chapter 4. Matrices and models 113 4.1 The GSL's matrices and vectors 114 4.2 apo_da t120 4.3 Shunting data 123 4.4 Linear algebra 129 4.5 Numbers 135 4.6 *gsl_matrixand gsl_ve torinternals 140 4.7 Models 143 Chapter 5. Graphics 157 5.1 plot 160 5.2 *Some common settings 163 5.3 From arrays to plots 166 5.4 A sampling of special plots 171 5.5 Animation 177 5.6 On producing good plots 180 5.7 *Graphs--nodes and flowcharts 182 5.8 Printing and LATEX 185 Chapter 6. *More coding tools 189 6.1 Function pointers 190 6.2 Data structures 193 6.3 Parameters 203 6.4 *Syntactic sugar 210 6.5 More tools 214 PART II STATISTICS 217 Chapter 7. Distributions for description 219 7.1 Moments 219 7.2 Sample distributions 235 7.3 Using the sample distributions 252 7.4 Non-parametric description 261 Chapter 8. Linear projections 264 8.1 *Principal component analysis 265 8.2 OLS and friends 270 8.3 Discrete variables 280 8.4 Multilevel modeling 288 Chapter 9. Hypothesis testing with the CLT 295 9.1 The Central Limit Theorem 297 9.2 Meet the Gaussian family 301 9.3 Testing a hypothesis 307 9.4 ANOVA 312 9.5 Regression 315 9.6 Goodness of fit 319 Chapter 10. Maximum likelihood estimation 325 10.1 Log likelihood and friends 326 10.2 Description: Maximum likelihood estimators 337 10.3 Missing data 345 10.4 Testing with likelihoods 348 Chapter 11. Monte Carlo 356 11.1 Random number generation 357 11.2 Description: Finding statistics for a distribution 364 11.3 Inference: Finding statistics for a parameter 367 11.4 Drawing a distribution 371 11.5 Non-parametric testing 375 Appendix A: Environments and makefiles 381 A.1 Environment variables 381 A.2 Paths 385 A.3 Make 387 Appendix B: Text processing 392 B.1 Shell scripts 393 B.2 Some tools for scripting 398 B.3 Regular expressions 403 B.4 Adding and deleting 413 B.5 More examples 415 Appendix C: Glossary 419 Bibliography 435 Index 443
£78.20
Princeton University Press Text as Data
Book SynopsisTrade Review"Among the metaverse of possible books on Text as Data that could have been published . . . I was pleased that my universe produced this one. I will assign this book as a critical part of my own course on content analysis for years to come, and it has already altered and improved the coherence of my own vocabulary and articulation for several critical choices underlying the process of turning text into data. . . . Highly recommend."---James Evans, Sociological Methods & Research
£999.99
O'Reilly Media Resilient Oracle PlSQL
Book SynopsisThis practical guide provides system administrators, DevSecOps engineers, and cloud architects with a concise yet comprehensive overview on how to use PL/SQL to develop resilient database solutions.
£47.99
O'Reilly Media Visualizing Streaming Data
Book SynopsisWith this practical guide, application designers, data scientists, and system administrators will explore ways to create visualizations that bring context and a sense of time to streaming text data. Author Anthony Aragues guides you through the concepts and tools you need to build visualizations for analyzing data as it arrives.
£23.60
O'Reilly Media Learning Apache Drill
Book SynopsisIn this practical book, Drill committers Charles Givre and Paul Rogers show analysts and data scientists how to query and analyze raw data using this powerful tool.
£35.99
Springer Fachmedien Wiesbaden Moderne Kryptographie: Eine Einführung
Book SynopsisDieses Buch behandelt die Kernfragen und grundlegenden Verfahren der Kryptographie. Diese werden aus Sicht der modernen Kryptographie studiert, die durch eine präzise mathematische und informatische Herangehensweise geprägt ist. Die Inhalte dieser Einführung sind dabei aus der Praxis motiviert und es werden wichtige, in der Praxis eingesetzte kryptographische Verfahren, vorgestellt und diskutiert.Table of ContentsSymmetrische Verschlüsselung - Blockkryptosysteme, AES - Verschlüssungsmodi, CTR, CBC - Asymmetrische Verschlüsselung, RSA, ElGamal - Hybride Verschlüsselung - Kryptographische Hashfunktionen, die SHA-Familie, Merkle-Damgård-Konstruktion - Nachrichtenauthentifizierung, CBC-MAC, HMAC - Digitale Signaturen, FDH-RSA, Random-Oracle-Modell, PKCS#1, DSA - Ansätze der Kryptanalyse - Informationstheoretische bzw. beweisbare Sicherheit der betrachteten Verfahren - Public-Key-Infrastrukturen und Web of Trust
£26.59
Springer Fachmedien Wiesbaden Masterkurs IT-Controlling: Grundlagen und Praxis
Book SynopsisIT-Controlling bedeutet Dienstleistung. Es unterstützt Existenz- und Arbeitsplatzsicherung durch Gewinnerzielung. Das Buch zeigt, wie es geht. Ausgehend von einem bewährten Leitbildcontrolling-Konzept werden systematisch die für das IT-Controlling relevanten Gesichtspunkte vorgestellt. Ein Buch zum Lernen, Vergleichen und Nachschlagen, für Studenten und Praktiker gleichermaßen.Dies Werk gilt mit seinem geschlossenen IT-Controlling-Konzept inzwischen als das Standard-Werk schlechthin. Es wird in Hochschulen und Seminaren als praxisgerechte Grundlage nachdrücklich empfohlen. Nachvollziehbar für die Praxis wird die Darstellung durch geeignete Beispiele aus bedeutenden Unternehmen. Übungsaufgaben und eine Übungsklausur bieten insbesondere den studierenden Lesern eine Absicherung des Lernerfolgs.Table of ContentsLeitbildcontrolling-Konzept für die IT - Zielformulierung, Zielsteuerung, Zielerfüllung - IT-Controlling-Konzept - Strategische IT-Controlling-Werkzeuge: Balanced Scorecard - Portfoliomanagement - Wertbeitrag der IT - Operative Werkzeuge: Projektcontrolling - Kennzahlen - IT-Sourcing - IT-Kosten- und Leistungsrechnung - Deckungsbeitrags- und Prozesskostenrechnung
£52.24
Springer Fachmedien Wiesbaden Einrichtungsübergreifende elektronische
Book SynopsisUwe K. Schneider untersucht den rechtlichen Rahmen einrichtungsübergreifender elektronischer Patientenakten, über die alle bereits erhobenen Gesundheitsdaten jederzeit am Ort der Behandlung verfügbar gemacht werden können. Er veranschaulicht diese Rahmenbedingungen anhand von Regelungsinstrumenten wie der Gewährung finanzieller Anreize für die Nutzung solcher Akten oder gar der Verpflichtung hierzu. Dabei bewegt der Autor sich im Spannungsfeld von Daten- und Gesundheitsschutz. Denn diese Akten bieten einerseits die Chance, Qualität und Wirtschaftlichkeit der Versorgung zu verbessern. Auf der anderen Seite existieren Risiken, wenn hierfür Patientendaten auf externen Servern vorgehalten und über elektronische Netze ausgetauscht werden. Es droht eine Verflüchtigung von Daten, Verantwortung und Vertrauen im Netz.Table of ContentsMedizinische, technische und wirtschaftliche Grundlagen.- Verfassungsrechtliche Rahmenbedingungen.- Europarechtliche Rahmenbedingungen.
£66.49
Springer Fachmedien Wiesbaden Mobile Computing: Grundlagen – Prozesse und
Book SynopsisDas Herausgeberwerk zeigt, welche Auswirkungen der Einsatz von mobilen Endgeräten auf betriebliche Abläufe hat und wie Anwendungsszenarien in verschiedenen Branchen aussehen können. Hierzu werden u. a. Beispiele aus dem Personalmanagement und dem Gesundheitswesen vorgestellt. Experten aus Wissenschaft und Praxis diskutieren Fragen rund um das Mobile Enterprise ebenso, wie die Gestaltung mobiler Prozesse im ERP und mobiles e-Learning.Dieser Band bietet damit all jenen Lesern und Wissenschaftlern neue Einsichten, die sich für das Thema mobile Anwendungen umfassend interessieren.Table of ContentsMobile Enterprise – Sichere mobile Unternehmensanwendungen – Sicherer Einsatz mobiler Endgeräte im Unternehmen – Mobile Prozesse im ERP – Mobile Device Management – Mobile Anwendungen im Personalmanagement – Mobile Anwendungen im Gesundheitswesen – Mobile Contracting – Mobile e-Learning
£42.74
Springer Fachmedien Wiesbaden IT Management: The art of managing IT based on a
Book SynopsisThis book focuses on the art of managing IT. A simple and robust framework is proposed to describe and to structure the essential elements of IT management. The authors pay particular attention to didactic aspects in order to facilitate the retention of models presented as well as to promote reflection on the subjects introduced. Thanks to a concentrate of good practices, each company will rapidly be in a position to build their proper IT ecosystem.Table of ContentsIT Processes - IT Strategy - IT Services - IT Portfolio and Project Management - IT Reporting - IT Governance
£18.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Das Zeitalter der Daten: Was Sie über Grundlagen,
Book SynopsisDaten werden überall gesammelt. Jeder Kauf, ob online oder offline, jede Autofahrt und jede Benutzung des Smartphones erzeugt Daten, die gespeichert werden. So entstehen Datenberge, die in atemberaubendem Tempo wachsen – für 2020 geht man von 40 Billionen Gigabytes aus. Aber was passiert dann mit diesen Daten? Wie werden sie ausgewertet? Und wer macht das? Holger Aust nimmt Sie mit auf einen unterhaltsamen Ausflug in die wunderbare Welt der Data Science. Sein Buch richtet sich an alle, die schon immer wissen wollten, wie Maschinen anhand von Daten lernen und ob sie dadurch (künstliche) Intelligenz erlangen. Sie erfahren natürlich auch, was neuronale Netze und Deep Learning eigentlich mit all dem zu tun haben. In leicht verständlichem Stil erhalten Sie außerdem Einblicke in die Funktionsweise der wichtigsten Algorithmen und lernen konkrete Beispiele, Herausforderungen und Risiken aus der Praxis kennen: Sie erfahren etwa, wie Mobilfunkanbieter ihre Kunden bei Laune halten, wie Erdbebenvorhersage funktioniert und warum auch Computer zum Schubladendenken neigen.Trade Review“… Aust erklärt mathematische Grundlagen und Formeln ebenso wie die Aufgaben eines Data Scientists. Vom Einzelkämpfer und Alleskönner bis zum Spezialisten in einem Team aus 500 Leuten sind alle möglichen Arbeitsmöglichkeiten drin. … Wer in die Materie einsteigen will, bekommt Grafiken und Tabellen zur Veranschaulichung mit an die Hand. Dass es nötig ist, sich mit dem Thema auseinanderzusetzen, wird die rund 250 Seiten hinweg immer wieder deutlich …” (Marco Krefting, in: dpa-Dossier Wissen, Heft 42, 22. Oktober 2021)Table of ContentsData Science: Die Kunst mit Daten umzugehen.- KI: Hype oder Technologie der Zukunft?- Wie lernt eine Maschine?- Stolz und Vorurteile - Risiken von Data Science.- Typische Aufgaben eines Data Scientists.- Das Gehirn kopieren? - Künstliche neuronale Netze.- Data Science in der Praxis.- Abschluss.
£17.09
Springer Fachmedien Wiesbaden Komplexe Strukturen: Entropie und Information
Book SynopsisDie Erforschung komplexer Strukturen ist gegenwärtig eines der interessantesten wissenschaftlichen Themen. Dieses Buch behandelt Möglichkeiten der Beschreibung und quantitativen Charakterisierung komplexer Strukturen mit Hilfe verschiedener Entropie- und Informationsmaße. Nach einer allgemein verständlichen Einführung der Grundbegriffe werden die für eine quantitative Analyse erforderlichen Konzepte ausführlich behandelt und an zahlreichen Beispielen, wie Zeitreihen, Biosequenzen, literarischen Texten und Musikstücken, veranschaulicht.Table of ContentsKomplexität und Entropie - Selbstorganisation und Information - Informationstheoretische Maße - Dynamisch generierte Strukturen - Entropie und Komplexität natürlicher Sequenzen - Quantitative Ästhetik
£44.99
Springer Fachmedien Wiesbaden Outsourcing realisieren: Vorgehen für IT und
Book SynopsisÜberlassen Sie im Mininenfeld "Outsourcing" nichts dem Zufall. Das Buch ist der geeignete Praxis-Ratgeber für die nachhaltig erfolgreiche Realisierung von Outsourcing-Vorhaben. Fundierte Entscheidungskriterien sowie das komplette Realisierungswissen für die Praxis. Konkrete Unternehmensbeispiele in nachvollziehbaren Schritten unterstützen den Leser bei der Realisierung eigener Projekte. Damit Sie letztlich einen nachhaltigen Erfolg für Ihr Unternehmen planen und sicherstellen können! "getAbstract.com empfiehlt es allen Managern und Projektleitern, die gerne Dienstleistungen und Prozesse auslagern würden - nur das Lesen müssen sie noch selbst übernehmen." zfo - Zeitschrift für Führung + Organisation, 3/2007Trade Review"getAbstract.com empfiehlt es allen Managern und Projektleitern, die gerne Dienstleistungen und Prozesse auslagern würden - nur das Lesen müssen sie noch selbst übernehmen." zfo- Zeitschrift für Führung + Organisation, 3/2007 "Wer dringend Einsparungen vornehmen muss (und wer muss das heute nicht?) oder strategische Meilensteine für die Zukunft setzen will, hat mit diesem Werk ein grundlegendes Arbeitsbuch zur Hand, das den Prozess des Outsourcings übersichtlich darstellt - samt möglicher Fallen und Tücken. getAbstract.com empfiehlt es allen Managern und Projektleitern, die gern Dienstleistungen und Prozesse auslagern würden - nur das Lesen müssen sie noch selbst übernehmen." www.getabstract.com, 11.04.2005 "Eine übersichtliche und praxisnahe Darstellung der Entscheidungs- und Implementierungsphase von Outsourcing-Projekten mit ." Zeitschrift für Controlling & Management, 01/2005 "In strukturierter und übersichtlicher Art und Weise behandeln die in Praxis und Beratung erfahrenen Autoren das Thema von der Planung bis zum Vertragsabschluss. Fallbeispiele geben dem Buch das Stück Lebendigkeit, das so vielen anderen Fachbüchern fehlt. Lesenswert!" CIO, 05/2004Table of ContentsGrundlagen und Aufgabenstellung - Entscheidungskriterien - Vorgehen, Phasen, Lifecycle (von der Planung zur Implementierung) - Nachhaltige Sicherung des Projekterfolgs - Case Studies: Beispiele und Ergebnisse - Jetzt mit zusätzlichen Übersichtstafeln, Checklisten u.v.m.
£999.99
Springer Fachmedien Wiesbaden Algorithmen und Datenstrukturen
Book SynopsisStatt der üblichen theoretischen Zugangs vermittelt dieses Lehrbuch Algorithmen und Datenstrukturen durch die Geschichte einer jungen Informatikerin. Der Stoff einer traditionellen Einführungsveranstaltung Informatik wird so ausgehend von der praktischen Anwendung lebendig und mit viel Spaß vermittelt. So schlägt das Buch eine Brücke von Alltagserfahrungen zu den Konzepten von Datenstrukturen und Algorithmen. Table of ContentsEin Anwendungsbeispiel - Machbarkeit und Effizienz - Einfache Ansätze - Verbesserung durch mehr Struktur - Gierige Algorithmen - Kleinster Schaden im Worst-Case - Teile und Beherrsche - Dynamisches Programmieren - Direkter Zugriff - Prioritätswarteschlangen - Extern gespeicherte Daten - Selbstorganisation - Zusammenfassung
£29.99
Springer Fachmedien Wiesbaden Codierung und Kryptologie: Facetten einer
Book SynopsisThomas Borys untersucht aus didaktischer Sicht, welchen Beitrag die Inhalte Codierung und Kryptologie zur mathematischen bzw. informatischen Bildung leisten. Seine epistemologische Analyse erfolgt auf Basis des genetischen Prinzips und der fundamentalen Ideen der Mathematik und der Informatik, die als Leitlinien der mathematischen bzw. informatischen Bildung dienen. An ausgewählten Beispielen der Codierung und Kryptologie wird gezeigt, was bei der Umsetzung im Unterricht zu beachten ist.Table of ContentsAnforderungen an die Bildung für die Kommunikations- und Wissensgesellschaft - Bildungsrelevanz codierungstheoretischer und kryptologischer Inhalte unter besonderer Berücksichtigung der Allgemeinbildung und des genetischen Prinzips - Bildungsrelevanz codierungstheoretischer und kryptologischer Inhalte unter besonderer Berücksichtigung weiterer fundamentaler Ideen - Konkrete codierungstheoretische und kryptologische Verfahren aus fachdidaktischer Perspektive - Resümee und fachdidaktische Konsequenzen
£52.24
Springer Fachmedien Wiesbaden Geschäftsprozesse realisieren: Ein
Book SynopsisProzesse werden nur dann erfolgreich gestaltet, wenn sie allen Handelnden verständlich sind und von Ihnen gemeinsam getragen werden. Dies gilt für Geschäftsprozesse, Organisationsabläufe und die Entwicklung geeigneter IT-Lösungen. Mit diesem Buch wird sichergestellt, dass Anwender, Entwickler, Berater und das Management dieselbe Sprache sprechen, um Geschäftsprozesse erfolgreich zu realisieren. Entscheidend ist dabei, dass das handelnde Subjekt in den Mittelpunkt gestellt wird. So werden Modellierung, Visualisierung, Validierung und Implementierung der Prozesse gleichermaßen am Menschen ausgerichtet. Durchgängige Beispiele und eine umfassende Fallstudie stellen ein Höchstmaß an Verständlichkeit und Praxisbezug sicher. Zusätzlich werden geeignete Modellierungs-Werkzeuge auf www.springer-vieweg.de zur Verfügung gestellt.Table of ContentsWas haben Geschäftsprozesse mit Sprache und Kommunikation zu tun? - Fokus Mensch: Handelnde im Mittelpunkt der Prozessmodelle - Abstraktionsebenen: Von der Strategie zum Workflow - Unternehmersicht: Prozesse strategisch ausrichten - Projektsicht: Beim Prozessmanagement richtig vorgehen - Architektensicht: Prozesse gekonnt beschreiben - Qualitätskontrolle: Prozessmodelle verifizieren und validieren - Implementierung: Prozesse erfolgreich umsetzen - Praxiserfahrung: Fallstudie und Checklisten
£28.49
Springer Verlag, Singapore Unleashing the Power of 5GtoB in Industries
Book SynopsisThis book will delve into how new ICTs, represented by 5G, collectively empower industries from the perspective of theories and practices. 5G is integrating with cloud, intelligence, big data, and applications to push the boundaries of industries and diversify industrial services. Starting from the background and value of industry digitalization, Section I introduces the new ICT infrastructure for industry digitalization, as well as a new support system based on this infrastructure to enable 5GtoB to bring new value to industries. Section II summarizes the success factors and four key capabilities for achieving 5GtoB success from methodological perspective. Abundant application cases are provided in Section III to explore the adoption of 5GtoB in key enterprises across industries, as well as the benefits brought to these enterprises. The final section analyzes the future evolution and applications of 5GtoB.5G enables a plethora of possibilities. We believe that this book will inspire everyone in the 5GtoB industry chain to embrace 5GtoB and take the digital transformation of industries to new heights.Table of ContentsEditorial Board.- Foreword.- Acknowledgements.- List of Abbreviations.- List of Figures.- List of Tables.- Chapter 1: Background and Value of Industry Digitalization.- Chapter 2: ICT Infrastructure Required for Digital Transformation.- Chapter 3: 5GtoB Market Space and Opportunities.- Chapter 4: 5GtoB Enables Enterprise Production.- Chapter 5: 5GtoB Improves Social Development and Living Standards.- Chapter 6: Construction of the 5GtoB Success Factor System.- Chapter 7: 5GtoB Success Factor Analysis — Performance Capability.- Chapter 8: 5GtoB Success Factor Analysis — Efficiency Capability.- Chapter 9: 5GtoB Success Factor Analysis — Ecosystem Capability.- Chapter 10: 5GtoB Success Factor Analysis — Business Capability.- Chapter 11: Heavy Industry.- Chapter 12: Computers, Communications and Consumer Electronics (3C) Manufacturing .- Chapter 13: Electric Power and Public Transportation.- Chapter 14: Mining and Petrochemical.- Chapter 15: Smart Port.- Chapter 16: Media, Education, and Healthcare.- Chapter 17: 5GtoB Evolution Path.- Chapter 18: Evolution to 5.5G and 6G and Key Applications.- References.
£89.99
Elsevier Science Business Intelligence Strategy and Big Data Analytics
Trade Review"Most executives are familiar with big data, business intelligence (BI), analytics, business performance management, business process management, and fact-based decision-making, but they are uncertain about how to best deploy them to create business value. In this book you will find both content and features that will help you plan and execute BI strategically. Worthy of special mention is the treatment of big data and analytics. The hype around both topics is especially high, and it is easy to think that they are so new and different that they need to be treated in special ways. This book provides a clear understanding of the ways that big data and analytics both differ from the past but also the many ways that they are just a logical extension of what has come before. When viewed in this context, the strategic planning for BI and analytics in the world of big data is very similar to planning for BI in general. If you need to think about BI (and all the related topics) strategically in your company, I’m confident that you will find this book to be very helpful." --Hugh Watson, Professor and C. Herman and Mary Virginia Terry Chair of Business Administration, Terry College of Business, University of Georgia and Senior Editor, Business Intelligence JournalTable of Contents1. The Personal Face of Business Intelligence 2. Business Intelligence in the Era of Big Data and Cognitive Business 3. The Strategic Importance of Business Intelligence 4. BI Opportunity Analysis 5. Prioritizing BI Opportunities (BIOs) 6. Leveraging BI for Performance Management, Process Improvement, and Decision Support 7. Meeting the Challenges of Enterprise BI 8. General Management Perspectives on Technical Topics
£28.49
Taylor & Francis Ltd Database Modeling Step by Step
a huge range and FREE tracked UK delivery on ALL orders.
£52.24
MIT Press Ltd Fundamentals of Active Inference
a huge range and FREE tracked UK delivery on ALL orders.
£157.25
Holy Macro! Books Supercharge Excel
Book SynopsisData analysis expressions (DAX) is the formula language of Power Pivot. Learning the DAX language is key to empower Excel users so they can take advantage of these new Business Intelligence (BI) capabilities. This volume clearly explains the concepts of Power Pivot while at the same time offering hands-on practice to engage the reader and help new knowledge stick. This second edition has been updated for the Excel 2016 user interface while still providing a bridge for readers wanting to learn DAX in the Excel environment and then transfer their new DAX skills across to Power BI.
£24.26
Actar Publishers Arquitectura No.387
£27.55
ISTE Ltd and John Wiley & Sons Inc Information Science
Book SynopsisWith regard to the problems identified by many researchers relating to the storage and processing of (semi-)structured digital data, accessibility and sharing, intellectual property, digital documents, information retrieval, information literacy, the relevance of information, information profiles of users, etc. the political projects for the Information Society cause some caution and embarrassment from a scientific point of view. This book gathers 13 contributions from Information Science researchers, and presents some scientific issues from the various domains which are, also, the issues in our present digital era.Table of Contents1. Some revisions on the concept of information, S. Leleu-Merviel, P. Useille. 2. From scientific communication to specialized mediation: knowledge communication, V. Couzinet. 3. Time, memory and the document, J.-P. Metzger. 4. The document and the network, S. Pene. 5. Information culture, A. Serres. 6. The relevance in Information science: models and theory, B. Simonnot. 7. A study of access systems for electronic information, M. Ihadjadene, S. Chaudiron. 8. Relevant information in business intelligence, A. David. 9. Automatic analysis of digital document and text: multidisciplinary research problematics, L. Grivel. 10. Freedom of information, participative democracy and local economy, Y. Thepaut. 11. Museum websites: an observatory for interactivity. G. Vidal. 12. The Internet and the public library, A. Camus-Vigue, C. Evans, F. Gaudet, M. Amar. 13. Electronic publishing for mobile phones: the case of streaming TV, B. Henocque.
£145.30
