Using HMMs and bagged decision trees to leverage rich features of user and skill from an intelligent tutoring system dataset

http://users.wpi.edu/~zpardos/papers/pardos_heffernan_KDD_Cup_2010_article.pdf

First submitted by Zachary on 4 Aug 2010

KDD Cup 2010 workshop paper on using MATLAB to place in this year's data mining competition.

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Date	Contributor	Description	Rating
4 Aug 2010	Zachary	This article describes the user modeling, feature extraction and bagged decision tree methods that were used to win 2nd place student prize and 4th place overall in the ACM’s 2010 KDD Cup. Toolboxes used: Statistical Toolbox Bayesnet Toolbox (Kevin Murphy) Parallel Computing Toolbox Corresponding author's homepage: http://users.wpi.edu/~zpardos/ WPI News Announcement: http://www.wpi.edu/news/20101/2010zach.html

4 Aug 2010

Zachary

This article describes the user modeling, feature extraction and bagged decision tree methods that were used to win 2nd place student prize and 4th place overall in the ACM’s 2010 KDD Cup.

Toolboxes used:
Statistical Toolbox
Bayesnet Toolbox (Kevin Murphy)
Parallel Computing Toolbox

Corresponding author's homepage:
http://users.wpi.edu/~zpardos/

WPI News Announcement:
http://www.wpi.edu/news/20101/2010zach.html

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Tag Activity

Tag	Applied By	Date/Time
statistics	Zachary	4 Aug 2010 at 10:35am
modeling	Zachary	4 Aug 2010 at 10:35am