ISBN-13: 9783642290657, 978-3642290657. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses.
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ISBN-13: 9783030662875, 978-3030662875. The book presents new machine learning and data mining approaches in solving problems in cyber dynamics. The book contains empirical solutions of problems in cyber dynamics ready for industrial applications.
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ISBN-13: 9789813229686, 978-9813229686. This compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The mathematical analysis component of the typical mathematical curriculum for computer science students omits these very important ideas and techniques which are indispensable for approaching specialized area of machine learning centered around optimization such as support vector machines, neural networks, various types of regression, feature selection, and clustering.
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Title: Principles of Data Mining (Adaptive Computation and Machine Lear Item Condition: used item in a very good condition. Used-like N : The book pretty much look like a new book. There will be no stains or markings on the book, the cover is clean and crisp, the book will look unread, the only marks there may be are slight bumping marks to the edges of the book where it may have been on a shelf previously. ).
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This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language processing, social big data applications, and scalability. It explains analytical techniques such as modeling, data mining, and multivariate analysis for social big data. This book is different from other similar books in that presents the overall picture of social big data from fundamental concepts to applications while standing on academic bases.
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