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» Discovering Case Knowledge Using Data Mining
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ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
15 years 8 months ago
Incremental Subspace Clustering over Multiple Data Streams
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
Qi Zhang, Jinze Liu, Wei Wang 0010
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
16 years 2 months ago
Mining favorable facets
The importance of dominance and skyline analysis has been well recognized in multi-criteria decision making applications. Most previous studies assume a fixed order on the attribu...
Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, ...
153
Voted
JODS
2006
206views Data Mining» more  JODS 2006»
15 years 2 months ago
Emergent Semantics in Knowledge Sifter: An Evolutionary Search Agent Based on Semantic Web Services
This paper addresses the various facets of emergent semantics in content retrieval systems such as Knowledge Sifter, an architecture and system based on the use of specialized agen...
Larry Kerschberg, Hanjo Jeong, Wooju Kim
BPSC
2009
240views Business» more  BPSC 2009»
15 years 3 months ago
Modelling and Solving Configuration Problems on Business Processes Using a Multi-Level Constraint Satisfaction Approach
Abstract: In this paper we present our ideas to apply constraint satisfaction on business processes. We propose a multi-level constraint satisfaction approach to handle t levels of...
Wolfgang Runte
111
Voted
KDD
2002
ACM
127views Data Mining» more  KDD 2002»
16 years 2 months ago
Mining knowledge-sharing sites for viral marketing
Viral marketing takes advantage of networks of influence among customers to inexpensively achieve large changes in behavior. Our research seeks to put it on a firmer footing by mi...
Matthew Richardson, Pedro Domingos