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» CoDA: Interactive Cluster Based Concept Discovery
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WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
12 years 1 months ago
Sequence clustering and labeling for unsupervised query intent discovery
One popular form of semantic search observed in several modern search engines is to recognize query patterns that trigger instant answers or domain-specific search, producing sem...
Jackie Chi Kit Cheung, Xiao Li
CAISE
2006
Springer
13 years 9 months ago
An Interactive, Asymmetric and Extensional Method for Matching Conceptual Hierarchies
Our work deals with schema or ontology matching and is driven by the following statements: (1) Most of works only consider intensional description of schemas; (2) They mostly use s...
Jérôme David, Fabrice Guillet, R&eacu...
DKE
2002
218views more  DKE 2002»
13 years 5 months ago
Computing iceberg concept lattices with T
We introduce the notion of iceberg concept lattices and show their use in knowledge discovery in databases. Iceberg lattices are a conceptual clustering method, which is well suit...
Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas P...
DIS
2007
Springer
14 years 3 days ago
Literature Based Discovery Support System and Its Application to Disease Gene Identification
We present an interactive discovery support system, which for a given starting concept of interest, discovers new, potentially meaningful relations with other concepts that have no...
Dimitar Hristovski, Borut Peterlin, Saso Dzeroski,...
CIBCB
2007
IEEE
13 years 10 months ago
Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
Ji He, Xinbin Dai, Xuechun Zhao