Understanding Complex Datasets

Data Mining with Matrix Decompositions

von David Skillicorn

268 Seiten, Hardcover

Kurzbeschreibung des Verlags

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® scripts to generate examples of matrix decompositions.

• Themen: Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management Wirtschaftswissenschaft Ökonometrie und Wirtschaftsstatistik
• ISBN: 9781584888321
• Sprache: Englisch
• Erscheinungsdatum: 17.05.2007
• Größe: 240 x 161 mm
• Verlag: Chapman and Hall/CRC