Visual Data Mining from Visualization to Visual Information Mining

From National Research Council Canada

Download	View accepted manuscript: Visual Data Mining from Visualization to Visual Information Mining (PDF, 990 KB)
Author	Search for: Viktor, Herna L.; Search for: Paquet, Eric¹
Name affiliation	National Research Council Canada. NRC Institute for Information Technology
Format	Text
Type	Book chapter
Book title	Encyclopedia of Data Warehousing and Mining (2nd Edition)
ISBN	978-1-60566-010-3 978-1-60566-011-0
Volume	4
Pages	2056–2061; # of pages: 6
Abstract	The current explosion of data and information, which are mainly caused by the continuous adoption of data warehouses and the extensive use of the Internet and its related technologies, has increased the urgent need for the development of techniques for intelligent data analysis. Data mining, which concerns the discovery and extraction of knowledge chunks from large data repositories, addresses this need. Data mining automates the discovery of hidden patterns and relationships that may not always be obvious. Data mining tools include classification techniques (such as decision trees, rule induction programs and neural networks) (Kou et al., 2007); clustering algorithms and association rule approaches, amongst others.
Publication date	2009
Terms of use	Permission is granted to temporarily download one copy of the materials for personal, noncommercial transitory viewing only. NRC Publications Archive - Copyright and terms of use
Language	English
NRC number	49882
NPARC number	8913608
Export citation	Export as RIS
Report a correction	Report a correction
Record identifier	ed285602-1433-4bd0-b4c8-c67426c06f4c
Record created	2009-04-22
Record modified	2019-03-11

Date modified:: 2019-03-20

Report a problem on this page