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From DML

The Data Mining Lab (DML) is hosted in the Department of Computer Science at Brigham Young University. It is located at 1138 TMCB, +1-801-422-7817.

Data Mining is the study and application of analysis methods aimed at the nontrivial extraction of implicit, previously unknown, and preferably actionable knowledge from data. As is evident from the diagram to the right, Data Mining is a process that involves a number of steps at which both business acumen and technical expertise must be leveraged to ensure success.

Hence, work in the DML attempts to combine theory with practice through research efforts grounded in the solution of real-world problems. The DML offers research opportunities for both graduate and undergraduate students. Visits to our lab are welcome at anytime. If you would like to attend a meeting, please see the DML Calendar. Additionally, please feel free to contact Christophe Giraud-Carrier (3326 TMCB, +1-801-422-3027).

1 Current Members
2 Current Research Projects
3 Former Members
4 Visitors
5 Invited Colloquium Speakers
6 Industry Partners
7 Conferences and Journals
8 Resources

[edit] Current Members

Christophe Giraud-Carrier, Matthew Smith, Jun won Lee, Nathan Davis, Yao Huang, David Wilcox, Kent Otis

[edit] Current Research Projects

See here for a list of research topics that may be pursued in the Data Mining Lab. Our current research efforts focus broadly on the following areas:

Predictive Informatics
Meta-learning
Social Capital in Online Communities
Genealogical Record Linkage
Data Mining Applications

You can look at a few slides from Selected Projects

[edit] Former Members

Kristine Daniels, MS (Full-time Mom), Brock Judkins, BS (Meebo, USA), Burdette Pixton, MS (RemedyMD, USA), Brent Wenerstrom, MS (PhD student at the University of Louisville, USA), Graham Henry, BS (Microsoft, USA), Nathan Purser, BS (Omniture, USA), Steve Ivie, BS (Amazon.com, USA), Michael Deardeuff, BS (Amazon.com, USA), Haven Gatrell, Mathieu Steele, Paul Mann