EAN: 9783319277615

BIG DATA CONCEPTS THEORIES AND APPLICATIONS GEB...

This book covers three major parts of Big Data: concepts  theories and applications. Written by
world-renowned leaders in Big Data  this book explores the problems  possible solutions and
directions for Big Data in research and practice. It also focuses on high level concepts such
as definitions of Big Data from different angles  surveys in research and applications  and
existing tools  mechanisms  and systems in practice. Each chapter is independent from the other
chapters  allowing users to read any chapter directly. After examining the practical side of
Big Data  this book presents theoretical perspectives. The theoretical research ranges from Big
Data representation  modeling and topology to distribution and dimension reducing. Chapters
also investigate the many disciplines that involve Big Data  such as statistics  data mining 
machine learning  networking  algorithms  security and differential geometry. The last section
of this book introduces Big Data applications from different communities  such as business 
engineering and science. Big Data Concepts  Theories and Applications is designed as a
reference for researchers and advanced level students in computer science  electrical
engineering and mathematics. Practitioners who focus on information systems  big data  data
mining  business analysis and other related fields will also find this material valuable.

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