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» Phenomenal Data Mining: From Data to Phenomena
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DATAMINE
1999
108views more  DATAMINE 1999»
15 years 1 months ago
A Survey of Methods for Scaling Up Inductive Algorithms
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...
Foster J. Provost, Venkateswarlu Kolluri
WWW
2009
ACM
16 years 2 months ago
Unsupervised query categorization using automatically-built concept graphs
Automatic categorization of user queries is an important component of general purpose (Web) search engines, particularly for triggering rich, query-specific content and sponsored ...
Eustache Diemert, Gilles Vandelle
JCDL
2009
ACM
127views Education» more  JCDL 2009»
15 years 8 months ago
Finding topic trends in digital libraries
We propose a generative model based on latent Dirichlet allocation for mining distinct topics in document collections by integrating the temporal ordering of documents into the ge...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
FBIT
2007
IEEE
15 years 7 months ago
Evaluation of a Dominance-Based Rough Set Approach to Interface Design
This paper explores refinements to methods used in a procedure being developed by the authors to personalize user interfaces for online shopping support tools. In the authors’ ...
Timothy Maciag, Daryl H. Hepting, Robert J. Hilder...
EDM
2008
108views Data Mining» more  EDM 2008»
15 years 2 months ago
Do Students Who See More Concepts in an ITS Learn More?
Active engagement in the subject material has been strongly linked to deeper learning. In traditional teaching environments, even though the student might be presented with new con...
Moffat Mathews, Tanja Mitrovic