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» A Weighted Utility Framework for Mining Association Rules
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KDD
2002
ACM
173views Data Mining» more  KDD 2002»
14 years 9 months ago
LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition
Web Usage Mining enables new understanding of user goals on the Web. This understanding has broad applications, and traditional mining techniques such as association rules have bee...
Ed Huai-hsin Chi, Adam Rosien, Jeffrey Heer
DSS
2007
226views more  DSS 2007»
13 years 9 months ago
Dare to share: Protecting sensitive knowledge with data sanitization
chool of Business Research – FY 2007 Research Abstracts Dare to Share: Protecting Sensitive Knowledge with Data Sanitization Data sanitization is a process that is used to promot...
Ali Amiri
KDD
2009
ACM
298views Data Mining» more  KDD 2009»
14 years 3 months ago
Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering
One-Class Collaborative Filtering (OCCF) is a task that naturally emerges in recommender system settings. Typical characteristics include: Only positive examples can be observed, ...
Rong Pan, Martin Scholz
ICTAI
2007
IEEE
14 years 3 months ago
Exploratory Quantitative Contrast Set Mining: A Discretization Approach
Contrast sets have been shown to be a useful tool for describing differences between groups. A contrast set is a set of association rules for which the antecedents describe distin...
Mondelle Simeon, Robert J. Hilderman
ITS
2004
Springer
153views Multimedia» more  ITS 2004»
14 years 2 months ago
Modeling Students' Reasoning About Qualitative Physics: Heuristics for Abductive Proof Search
Abstract. We describe a theorem prover that is used in the Why2Atlas tutoring system for the purposes of evaluating the correctness of a student’s essay and for guiding feedback ...
Maxim Makatchev, Pamela W. Jordan, Kurt VanLehn