Handbook of Big Data Technologies - Albert Y. Zomaya

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Résumé :
Big Data Storage Models.- Big Data Programming Models.- Programming Platforms for Big Data Analysis.- Big Data Analysis on Clouds.- Data Organization and Curation in Big Data.- Big Data Query Engines.- Unbounded Data Processing.- Semantic Data Integration.- Linked Data Management.- Non-native RDF Storage Engines.- Exploratory Ad-hoc Analysis for Big Data.- Pattern Matching over Linked Data Streams.- Searching the Big Data Practices and Experiences in Efficiently Querying Knowledge Bases.- Management and Analysis of Big Graph Data.- Similarity Search in Large-Scale Graph Databases.- Big Graphs Querying, Mining, and Beyond.- Link and Graph Mining in the Big Data Era.- Granular Social Network Model and Applications.- Big Data, IoT and Semantics.- SCADA Systems in the Cloud.- Quantitative Data Analysis in Finance.- Emerging Cost Effective Big Data Architectures.- Bringing High Performance Computing to Big Data.- Cognitive Computing where Big Data is Driving.- Privacy-Preserving Record Linkage for Big Data....

Biographie:
Albert Zomaya is the Chair Professor of High Performance Computing & Networking in the School of Information Technologies, University of Sydney. Dr. Zomaya published more than 500 scientific papers and articles and is author, co-author or editor of more than 20 books.  He served as the Editor in Chief of the IEEE Transactions on Computers (2011-2014) and was elected recently as a Founding Editor in Chief for the newly established IEEE Transactions on Sustainable Computing. Dr. Zomaya also serves as an associate editor for more than 20 leading journals. He is Fellow of AAAS, IEEE, and IET.