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» Identifying Objects Using Cluster and Concept Analysis
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DKE
2002
218views more  DKE 2002»
14 years 11 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...
105
Voted
HICSS
2007
IEEE
179views Biometrics» more  HICSS 2007»
15 years 5 months ago
Assessing User Acceptance of a Knowledge Management System in a Global Bank: Process Analysis and Concept Development
Many organizations pursue knowledge management (KM) initiatives, with different degrees of success. One key aspect of KM often neglected in practice is that it not only concerns t...
Cristof Bals, Stefan Smolnik, Gerold Riempp
91
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DMIN
2006
151views Data Mining» more  DMIN 2006»
15 years 15 days ago
Rough Set Theory: Approach for Similarity Measure in Cluster Analysis
- Clustering of data is an important data mining application. One of the problems with traditional partitioning clustering methods is that they partition the data into hard bound n...
Shuchita Upadhyaya, Alka Arora, Rajni Jain
BIBM
2008
IEEE
170views Bioinformatics» more  BIBM 2008»
15 years 5 months ago
Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm
— Protein sequence motifs information is crucial to the analysis of biologically significant regions. The conserved regions have the potential to determine the role of the protei...
Bernard Chen, Jieyue He, Stephen Pellicer, Yi Pan
SAMT
2007
Springer
117views Multimedia» more  SAMT 2007»
15 years 5 months ago
A Region Thesaurus Approach for High-Level Concept Detection in the Natural Disaster Domain
Abstract. This paper presents an approach on high-level feature detection using a region thesaurus. MPEG-7 features are locally extracted from segmented regions and for a large set...
Evaggelos Spyrou, Yannis S. Avrithis