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WWW
2006
ACM
16 years 6 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
EOR
2008
123views more  EOR 2008»
15 years 6 months ago
A combined approach for segment-specific market basket analysis
Market baskets arise from consumers' shopping trips and include items from multiple categories that are frequently chosen interdependently from each other. Explanatory models...
Yasemin Boztug, Thomas Reutterer
SIGIR
2008
ACM
15 years 6 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
KDD
2001
ACM
164views Data Mining» more  KDD 2001»
16 years 6 months ago
Data mining criteria for tree-based regression and classification
This paper is concerned with the construction of regression and classification trees that are more adapted to data mining applications than conventional trees. To this end, we pro...
Andreas Buja, Yung-Seop Lee
SIGMOD
2005
ACM
161views Database» more  SIGMOD 2005»
16 years 6 months ago
Efficient Keyword Search for Smallest LCAs in XML Databases
Keyword search is a proven, user-friendly way to query HTML documents in the World Wide Web. We propose keyword search in XML documents, modeled as labeled trees, and describe cor...
Yu Xu, Yannis Papakonstantinou