Faculty Advisor

Ruiz, Carolina

Faculty Advisor

Ward, Matt

Abstract

Data mining is the process of discovering useful knowledge from large amounts of raw data. The primary goal of this project was to compare two commercial data mining packages: IBM's Intelligent Miner and SGI's MineSet, using association rule and decision tree mining techniques as a basis. The main factors evaluated were ease of use, overall performance, and the presentation of results. To accomplish this, both packages were used to mine identical data sets and the results were then compared.

Publisher

Worcester Polytechnic Institute

Date Accepted

January 1999

Major

Computers with Applications

Project Type

Major Qualifying Project

Accessibility

Restricted-WPI community only

Advisor Department

Computer Science

Advisor Program

Computer Science

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