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ICDM
2005
IEEE
117views Data Mining» more  ICDM 2005»
15 years 4 months ago
On Learning Asymmetric Dissimilarity Measures
Many practical applications require that distance measures to be asymmetric and context-sensitive. We introduce Context-sensitive Learnable Asymmetric Dissimilarity (CLAD) measure...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
15 years 3 months ago
Ontologies Improve Text Document Clustering
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
Andreas Hotho, Steffen Staab, Gerd Stumme
ICDM
2002
IEEE
123views Data Mining» more  ICDM 2002»
15 years 3 months ago
Towards Automatic Generation of Query Taxonomy: A Hierarchical Query Clustering Approach
Previous works on automatic query clustering most generate a flat, un-nested partition of query terms. In this work, we are pursuing to organize query terms into a hierarchical s...
Shui-Lung Chuang, Lee-Feng Chien
KDD
1994
ACM
98views Data Mining» more  KDD 1994»
15 years 2 months ago
Rule Induction for Semantic Query Optimization
Semantic query optimization can dramatically speed up database query answering by knowledge intensive reformulation. But the problem of how to learn required semantic rules has no...
Chun-Nan Hsu, Craig A. Knoblock
PKDD
2000
Springer
113views Data Mining» more  PKDD 2000»
15 years 2 months ago
CEM-Visualisation and Discovery in Email
Abstract. This paper presents a lattice-based visual metaphor for knowledge discovery in electronic mail. It allow a user to navigate email using a visual lattice metaphor rather t...
Richard J. Cole II, Peter W. Eklund, Gerd Stumme