Date

Summary

1/1/04

Knowledge discovery through databases. The first organization of its kind that focuses on data mining and related aspects of knowledge discovery. Data mining is defined as the process of finding new and potentially useful knowledge from data. Some of the solutions to Data mining have been implemented in Bioinformatics field, customer relationship management and web traffic analysis to name a few. http://www.kdnuggets.com/index.html

1/8/04

Customer relationship management, which is one of the focus areas of data mining has to deal with capturing, maintaining and retaining customers. Here the customer data are mined to provide valuable insights about the trends that are buried in the data. For example, a telephone marketing manager can gain knowledge about “churn” by extracting knowledge about customer data.

http://www.thearling.com/text/whexcerpt/whexcerpt.htm

1/15/04

CRISP-DM- It’s a data mining process model that can be used across industries and across tools that can aid in knowledge discovery. This provides a life cycle approach to the data mining process. The lifecycle is divided into six phases: Business understanding , data understanding, data preparation, modeling, evaluation and deployment.

http://www.crisp-dm.org/