David Skillicorn

Understanding Complex Datasets

Data Mining with Matrix Decompositions

• Gebundenes Buch

Produktbeschreibung

Matrix decompositions are simple, widely available data mining tools used in a variety of applications. This book presents underlying matrix theory and explains its effectiveness as a tool. It demonstrates how to build models of complex data using real-world scientific and engineering systems, and focuses on a range of applications such as information retrieval, topic detection, and social network analysis.

Produktdetails

• Verlag: CRC Press
• Seitenzahl: 266
• Erscheinungstermin: 1. Juli 2007
• Englisch
• Abmessung: 235mm x 166mm x 19mm
• Gewicht: 513g
• ISBN-13: 9781584888321
• ISBN-10: 1584888326
• Artikelnr.: 22738304

Autorenporträt

David Skillicorn

Inhaltsangabe

Data Mining. Matrix Decompositions. Singular Value Decomposition (SVD).
Graph Analysis. SemiDiscrete Decomposition (SDD). Using SVD and SDD
Together. Independent Component Analysis (ICA). Non-Negative Matrix
Factorization (NNMF). Tensors. Conclusion. Appendix. Bibliography. Index.