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This book offers a comprehensive review of Learning Analytics (LA). It highlights the latest results, methodologies, tools, strategies, and models and encompasses theoretical discussions as well as practical examples and strategies.
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Big Data is a growing business trend, but there little advice available on how to use it practically. Written by a... Læs mere
Advances in Computational Algorithms and Data Analysis offers state of the art tremendous advances in computational algorithms and data analysis.... Læs mere
Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford.
Pro Apache Hadoop, Second Edition brings you up to speed on Hadoop – the framework of big data.
This book proposes a number of techniques to perform data mining tasks in a privacy-preserving way. The survey information included with each chapter is unique in terms of its focus on introducing the different topics more comprehensively.
This volume explains the benefits of using advanced analytics in technology industries like computer, telecommunication, aerospace, electronics,... Læs mere
The text discusses the fundamentals, frameworks, and practical applications of cognitive and smart computing in diverse areas such... Læs mere
This handbook offers a examination of the changing landscape of cybersecurity, exploring the challenges and solutions that... Læs mere
Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important graph topics such as... Læs mere