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.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Martino, Christopher Lee

Publisher

• Worcester Polytechnic Institute

Identifier

• 99B020M

Advisor

• Ward, Matthew O.
• Ruiz, Carolina

Year

• 1999

Date created

• 1999-01-01

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright