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Focusing on data mining mechanics and applications, this book explores some of the most common matrix decompositions, including singular value, semidiscrete, independent component analysis, non-negative matrix factorization, and tensors. It also discusses several important theoretical and algorithmic problems of matrix decompositions.
Presents a fresh approach to knowledge discovery in adversarial settings. Focusing on the four main applications areas in knowledge discovery (prediction, clustering, relationship discovery, and textual analysis), this book discusses opportunities for concealment that exist and recommends tactics that can aid in detecting them.
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