Intension Mining

Intension Mining

Author: 
Nigro, Héctor Oscar
Place: 
Hershey
Publisher: 
IGI Global
Date published: 
2005
Responsibility: 
Císaro, Sandra Elizabeth González, jt.author
Editor: 
C. Rivero, Laura
Journal Title: 
Encyclopedia of Database Technologies and Applications
Source: 
Encyclopedia of Database Technologies and Applications
Subject: 
Abstract: 

Knowledge discovery is defined as “the non trivial extraction of implicit, unknown, and potentially useful knowledge of the data” (Fayyad, Piatetsky-Shiapiro, Smyth, & Uthurusamy, 1996, p. 6). According to these principles, the knowledge discovery process (KDP) takes the results just as they come from the data (i.e., the process of extracting tendencies or models of the data), and it carefully and accurately transforms them into useful and understandable information. To consider the discovery of knowledge useful, this knowledge has to be interesting (i.e., it should have a potential value for the user; Han & Kamber, 2001).

CITATION: Nigro, Héctor Oscar. Intension Mining edited by C. Rivero, Laura . Hershey : IGI Global , 2005. Encyclopedia of Database Technologies and Applications - Available at: https://library.au.int/frintension-mining