Abstract #300773

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JSM 2002 Abstract #300773
Activity Number: 112
Type: Contributed
Date/Time: Monday, August 12, 2002 : 12:00 PM to 1:50 PM
Sponsor: Section on Statistical Computing*
Abstract - #300773
Title: Some User-friendly Data Mining Tools
Author(s): Kerie Wenzlick*+ and Morteza Marzjarani+
Affiliation(s): Saginaw Valley State University and Saginaw Valley State University
Address: 7165 New Lothrop Road, New Lothrop, Michigan, 48460, USA 7400 Bay Road, University Center, Michigan, 48710, USA
Keywords: Algorithms ; Tools ; Probability ; Clustering ; Regression
Abstract:

Data Mining is a common area to both statisticians and computer scientists. In this research work, we present some user-friendly data-mining tools. Among the data mining tools, we will analyze methods such as probability, regression, decision trees, clustering, etc. A comparison of some of these tools, in terms of features of interest such as speed, space requirement, and performance will also be presented.

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Revised March 2002