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Understanding Complex Datasets: Data Mining with Matrix Decompositions

Understanding Complex Datasets: Data Mining with Matrix Decompositions

Hardcover

Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery

Business GeneralDatabasesGeneral Mathematics

ISBN10: 1584888326
ISBN13: 9781584888321
Publisher: CRC Press
Published: Jul 1 2007
Pages: 266
Weight: 1.13
Height: 0.76 Width: 6.55 Depth: 9.27
Language: English
Focusing on data mining mechanics and applications, this book explores the most common matrix decompositions, including singular value, semidiscrete, independent component analysis, non-negative matrix factorization, and tensors. It shows how these matrix decompositions can be used to analyze large datasets in a broad range of application areas, such as information retrieval, topic detection, geochemistry, astrophysics, microarray analysis, process control, counterterrorism, and social network analysis. The book also discusses several important theoretical and algorithmic problems of matrix decompositions and provides MATLAB(R) scripts to generate examples of matrix decompositions.

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