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The book consists of fifty-two chapters, each of which shares the latest research in the fields of big data and data science, and describes use cases and applications of big data technologies in various domains, such as social networks and health care.
A comparative evaluation of classification algorithms for sentiment analysis using word embeddings.- A context Ontology for Semantic IOT Representation.- A Deep Neural Network Classification Approach for Alzheimer's Disease diagnosis.- A Lightweight Cellular Automata-based Cryptosystem evaluated with NIST statistical tests.- A literature review of steering angle prediction algorithms for self-driving cars.- A Multi-Criteria Analysis and Advanced comparative study Between IT Governance references.- A New Approach of a List of Items for Search Retrieval Systems.- A Rigid Visual Servoing Approach for Non-Rigid Objects Using Weighted Primitives.- A Supervised Method for Extractive Single Document Summarization based on Sentence Embeddings and Neural Networks.- An Adaptive Control Approach for Performance of Big Data Storage Systems.- An Advanced Intelligent Support System for Multimodal Transportation Network Based on Multi-Agent Architecture.- An online framework for earlier cancer diagnosis: Association rules and decision tree based approach.- An optimized Iterative Partitioning Model For Predicting Computer System Failures based on Deep Learning.- Analyzing social media opinions using hybrid Machine Learning model based on Artificial Neural Network optimized by Particle Swarm Optimization.- Anomaly Detection in Credit Card Transactions.- Application of a discrete to continuous approach based -alignment algorithm for Capillary Electrophoresis DNA sequencing correction.- Automatic Evaluation of UML Class Diagrams Using the XML Schema Matching and the Machine Learning Algorithm.