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ICDM
2006
IEEE
116views Data Mining» more  ICDM 2006»
15 years 3 months ago
Improving Personalization Solutions through Optimal Segmentation of Customer Bases
On the Web, where the search costs are low and the competition is just a mouse click away, it is crucial to segment the customers intelligently in order to offer more targeted and...
Tianyi Jiang, Alexander Tuzhilin
EDM
2009
175views Data Mining» more  EDM 2009»
14 years 7 months ago
Detecting Symptoms of Low Performance Using Production Rules
E-Learning systems offer students innovative and attractive ways of learning through augmentation or substitution of traditional lectures and exercises with online learning materia...
Javier Bravo Agapito, Alvaro Ortigosa
IJAR
2011
118views more  IJAR 2011»
14 years 1 months ago
A sequential pattern mining algorithm using rough set theory
Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns in time se...
Ken Kaneiwa, Yasuo Kudo
KDD
2004
ACM
103views Data Mining» more  KDD 2004»
15 years 10 months ago
An objective evaluation criterion for clustering
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
Arindam Banerjee, John Langford
80
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KBSE
2009
IEEE
15 years 4 months ago
Evaluating the Accuracy of Fault Localization Techniques
—We investigate claims and assumptions made in several recent papers about fault localization (FL) techniques. Most of these claims have to do with evaluating FL accuracy. Our in...
Shaimaa Ali, James H. Andrews, Tamilselvi Dhandapa...