This presentation defines and explains the need for/benefits of data mining. It describes the KDD process for data cleaning, data integration, data selection, transformation, data mining, pattern evaluation, and knowledge presentation. It also discusses data mining functionalities: characterization, discrimination, association, classification, clustering, outliers and trend analysis.

URL: http://www.slideshare.net/akannshat/data-mining-15329899
Keywords: Data Warehouse, Data Mining, Data Visualization, KDD, OLAM
Author: Totewar, Akannsha
Date created: 2012-11-24 07:00:00.000