{"product_id":"new-trends-in-database-and-information-systems-9783031704208","title":"New Trends in Database and Information Systems","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- \u003cstrong\u003eDoctoral Consortium\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Using Graph Theory for Clinical Data Management.\u003c\/p\u003e\u003cp\u003e.- Advancing Legal NLP: Application of Pre-trained Language Models in the Legal Domain.\u003c\/p\u003e\u003cp\u003e.- An application for scoliosis screening and follow-up: a first proposal.\u003c\/p\u003e\u003cp\u003e.- Negation Detection in Italian: A Key Challenge in Sentiment Analysis.\u003c\/p\u003e\u003cp\u003e.- Optimizing Federated Learning and Increasing Efficiency.\u003c\/p\u003e\u003cp\u003e.- Integrating Pseudo-Time Series Analysis into Telemedicine: Enhancing Real-Time Disease Monitoring and Intervention.\u003c\/p\u003e\u003cp\u003e.- Classifying Chest X-Ray Images with Deep Learning Techniques: Challenges and Explainable Analysis.\u003c\/p\u003e\u003cp\u003e.- Scalable Deep Learning: Applications in Medicine.\u003c\/p\u003e\u003cp\u003e.- Towards More Efficient and Improved Federated Learning.\u003c\/p\u003e\u003cp\u003e.- Development of Explainable AI Methods for the Interpretation of Machine Learning Models in Bioinformatics and Medicine.\u003c\/p\u003e\u003cp\u003e.- Deep Learning Techniques for Predicting Wildires in Calabria Italy Using Environmental Parameters.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003e5th Workshop on Intelligent Data - From Data to Knowledge (DOING 2024)\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Capturing Analytical Intents from Text.\u003c\/p\u003e\u003cp\u003e.- The Effect of Text Normalization on Mining Portuguese Man-of-War Instagram Posts.\u003c\/p\u003e\u003cp\u003e.- A Preliminary Investigation: Strategies for Incorporating Logical Rules into Knowledge Graph Embeddings.\u003c\/p\u003e\u003cp\u003e.- Construction of Open Data Sources for Data Interoperability in Brazilian Health Information Systems.\u003c\/p\u003e\u003cp\u003e.- Brazilian Political Study with Topics Analysis and Complex Networks.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003e3rd Workshop on Knowledge Graphs Analysis on a Large Scale (K-GALS 2024)\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Transforming Text into Knowledge with Graphs: Report of the GDR MADICS DOING Action.\u003c\/p\u003e\u003cp\u003e.- Building Model-Driven Knowledge Graphs via Large Language Models.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003e6th Workshop on Modern Approaches in Data Engineering and Information System Design (MADEISD 2024)\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Process Mining in Croatia's Judicial Auctions.\u003c\/p\u003e\u003cp\u003e.- Towards the Utilization of AI-powered Assistance for Systematic Literature Review.\u003c\/p\u003e\u003cp\u003e.- Estimating Information Efficiency of Bitcoin Inscriptions.\u003c\/p\u003e\u003cp\u003e.- Deep Learning-Based Cellular Nuclei Segmentation Using Transformer Mode.\u003c\/p\u003e\u003cp\u003e.- Towards a Model-Driven Approach to Enable Uniform Access to Vector Databases.\u003c\/p\u003e\u003cp\u003e.- Employing Multiple Online Translation Services in a Multilingual Database Design Tool.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003e3rd Workshop on Personalization and Recommender Systems (PERS 2024)\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Development of Collaborative Business Intelligence Framework for Tourism Analysis.\u003c\/p\u003e\u003cp\u003e.- Session-based Recommendation with Graph Neural Networks with an Examination of the Impact of Local and Global Vectors.\u003c\/p\u003e\u003cp\u003e.- Senselife: Service Recommendation and Frailty Prevention through Knowledge Models.\u003c\/p\u003e\u003cp\u003e.- Evaluating Diversity in Sequential Group Recommendations.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eAccess methods and Query Processing\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- A Reproducibility Study of Subgroup Discovery Algorithms (short).\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eDiscovery and Data Analysis\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- A Compact and Efficient Data Structure for Line-based Processing of Series of Raster Data (short).\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eMachine Learning\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- FedeM: Federated Learning-Based Privacy-Preserving Record Matching (short).\u003c\/p\u003e\u003cp\u003e.- Estimating MPdist with SAX and Machine Learning (short).\u003cbr\u003e.- \u003cstrong\u003eLarge Language Models\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Entity Matching with Large Language Models as Weak and Strong labellers (short).\u003c\/p\u003e\u003cp\u003e.- LLMClean: Context-Aware Tabular Data Cleaning via LLM-Generated OFDs (short).\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eTutorials\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Data-driven Analysis for Monitoring Software Evolution.\u003c\/p\u003e\u003cp\u003e.- On Customer Data Deduplication - Research vs. Industrial Perspective: Lessons Learned from a R\u0026amp;D Project in the Financial Sector.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195402871127,"sku":"9783031704208","price":89.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/new-trends-in-database-and-information-systems-9783031704208","provider":"Book Curl","version":"1.0","type":"link"}