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» Data Mining Algorithms to Classify Students
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WWW
2008
ACM
14 years 11 months ago
Efficient mining of frequent sequence generators
Sequential pattern mining has raised great interest in data mining research field in recent years. However, to our best knowledge, no existing work studies the problem of frequent...
Chuancong Gao, Jianyong Wang, Yukai He, Lizhu Zhou
SIGMOD
2005
ACM
161views Database» more  SIGMOD 2005»
14 years 11 months ago
Mining Top-k Covering Rule Groups for Gene Expression Data
In this paper, we propose a novel algorithm to discover the topk covering rule groups for each row of gene expression profiles. Several experiments on real bioinformatics datasets...
Gao Cong, Kian-Lee Tan, Anthony K. H. Tung, Xin Xu
KDD
1998
ACM
113views Data Mining» more  KDD 1998»
14 years 3 months ago
Targeting Business Users with Decision Table Classifiers
Business users and analysts commonly use spreadsheets and 2D plots to analyze and understand their data. On-line Analytical Processing (OLAP) provides these users with added flexi...
Ron Kohavi, Dan Sommerfield
AIED
2007
Springer
14 years 2 months ago
Optimizing Student Models for Causality
Complex student models often include key parameters critical to their behavior and effectiveness. For example, one meta-cognitive model of student help-seeking in intelligent tutor...
Benjamin Shih, Kenneth R. Koedinger, Richard Schei...
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
14 years 9 days ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard