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» An Algebraic Approach to Data Mining: Some Examples
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BPM
2006
Springer
98views Business» more  BPM 2006»
15 years 9 months ago
Structured Service Composition
Composition languages like BPEL and many enactment tools only support structured process models, while most composition approaches only consider unstructured models. In this paper,...
Rik Eshuis, Paul W. P. J. Grefen, Sven Till
ECIR
2010
Springer
15 years 7 months ago
Goal-Driven Collaborative Filtering - A Directional Error Based Approach
Collaborative filtering is one of the most effective techniques for making personalized content recommendation. In the literature, a common experimental setup in the modeling phase...
Tamas Jambor, Jun Wang
SDM
2009
SIAM
154views Data Mining» more  SDM 2009»
16 years 3 months ago
AMORI: A Metric-Based One Rule Inducer.
The requirements of real-world data mining problems vary extensively. It is plausible to assume that some of these requirements can be expressed as application-specific performan...
Niklas Lavesson, Paul Davidsson
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
16 years 6 months ago
Camouflaged fraud detection in domains with complex relationships
We describe a data mining system to detect frauds that are camouflaged to look like normal activities in domains with high number of known relationships. Examples include accounti...
Sankar Virdhagriswaran, Gordon Dakin
CIKM
2009
Springer
16 years 21 days ago
Large margin transductive transfer learning
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
Brian Quanz, Jun Huan