Abstract #300772


The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.


Back to main JSM 2002 Program page



JSM 2002 Abstract #300772
Activity Number: 112
Type: Contributed
Date/Time: Monday, August 12, 2002 : 12:00 PM to 1:50 PM
Sponsor: Section on Statistical Computing*
Abstract - #300772
Title: Interaction Between Data Mining Algorithms and Database Technology
Author(s): Morteza Marzjarani*+
Affiliation(s): Saginaw Valley State University
Address: 7400 Bay Road, University Center, Michigan, 48710, USA
Keywords: DECISION TREES ; CLUSTERING ; PROBABILITY
Abstract:

Data mining is perhaps the most active area in artificial intelligence and statistics. Many advances have been made in this field. The question that has not been studied to date is the interaction between data mining algorithms (tools) and database technology when facing massive data sets. There are a few general approaches to the problem, such as placing data in main memory, scalable forms of data mining algorithms, special-designed algorithms for accessing data on disk, and sample (reduced) data sets and sufficient statistics.

In this research, we will look at the issue of interaction between data mining algorithms and databases. More specifically, we will further develop the methods mentioned above in depth, and we will analyze each method. A comparison will also be made to select the most efficient one in terms of features, such as speed and accuracy.


  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2002 program

JSM 2002

For information, contact meetings@amstat.org or phone (703) 684-1221.

If you have questions about the Continuing Education program, please contact the Education Department.

Revised March 2002