Data Mining Fundamental Concepts and Critical Issues

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

Abstract

Data mining is the process of extracting previously unknown information from large databases or data warehouses and using it to make crucial business decisions. Data mining tools find patterns in the data and infer rules from them. The extracted information can be used to form a prediction or classification model, identify relations between database records, or provide a summary of the databases being mined. Those patterns and rules can be used to guide decision making and forecast the effect of those decisions, and data mining can speed analysis by focusing attention on the most important variables.

Original languageEnglish
Title of host publicationEncyclopedia of Artificial Intelligence
Subtitle of host publicationVolume I-III
PublisherIGI Global
Pages418-423
Number of pages6
Volume1-3
ISBN (Electronic)9781599048505
ISBN (Print)9781599048499
DOIs
StatePublished - 1 Jan 2008

Fingerprint

Dive into the research topics of 'Data Mining Fundamental Concepts and Critical Issues'. Together they form a unique fingerprint.

Cite this