Cover Image

Understanding complex datasets : data mining with matrix decompositions /

Show other versions (2)

Discusses the most common matrix decompositions and shows how they can be used to analyze large datasets in a range of application areas. This book helps you determine which matrix is appropriate for your dataset and what the results mean. It also shows how matrix decompositions can be used to find...

Full description

Bibliographic Details
Main Author: Skillicorn, David B.
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton : Chapman & Hall/CRC Press, ©2007.
Series:Chapman & Hall/CRC data mining and knowledge discovery series.
Subjects:
Data mining.
Data structures (Computer science)
Computer algorithms.
Algorithms.
Database Mining
Algorithms
Data Mining
Exploration de données (Informatique)
Structures de données (Informatique)
Algorithmes.
algorithms.
COMPUTERS > Desktop Applications > Databases.
COMPUTERS > Database Management > General.
COMPUTERS > System Administration > Storage & Retrieval.
Matrices.
Decomposition (Mathematics)
Computer algorithms
Data mining
Matrizenzerlegung
Datastrukturer.
Datoralgoritmer.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:Discusses the most common matrix decompositions and shows how they can be used to analyze large datasets in a range of application areas. This book helps you determine which matrix is appropriate for your dataset and what the results mean. It also shows how matrix decompositions can be used to find documents on the Internet.
Physical Description:1 online resource (xxi, 236 pages, 8 unnumbered pages of plates) : illustrations (some color)
Bibliography:Includes bibliographical references (pages 223-232) and index.
ISBN:9781584888338
1584888334
9781584888321
1584888326
1281274763
9781281274762