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» Identifying Objects Using Cluster and Concept Analysis
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SAC
2008
ACM
14 years 9 months ago
Efficient concept clustering for ontology learning using an event life cycle on the web
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
Sangsoo Sung, Seokkyung Chung, Dennis McLeod
SAC
2005
ACM
15 years 3 months ago
Identifying topological predicates for vague spatial objects
Many geographical applications deal with spatial objects that cannot be adequately described by determinate, crisp concepts because of their intrinsically indeterminate and vague ...
Alejandro Pauly, Markus Schneider
ECAI
2000
Springer
15 years 1 months ago
An Instance-based Approach for Identifying Candidate Ontology Relations within a Multi-Agent System
Discovering related concepts in a multi-agent system among agents with diverse ontologies is difficult using existing knowledge representation languages and approaches. We describ...
Andrew B. Williams, Costas Tsatsoulis
BMCBI
2010
214views more  BMCBI 2010»
14 years 9 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper
COMAD
2009
14 years 10 months ago
Categorizing Concepts for Detecting Drifts in Stream
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
Sharanjit Kaur, Vasudha Bhatnagar, Sameep Mehta, S...