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» Efficient Algorithms for Discovering Association Rules
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EDBT
2008
ACM
160views Database» more  EDBT 2008»
13 years 9 months ago
Taxonomy-superimposed graph mining
New graph structures where node labels are members of hierarchically organized ontologies or taxonomies have become commonplace in different domains, e.g., life sciences. It is a ...
Ali Cakmak, Gultekin Özsoyoglu
IJACTAICIT
2010
159views more  IJACTAICIT 2010»
13 years 4 months ago
Improving Semantic Matching of Grid Resources Using Refined Ontology with Complement Class
Amidst the proliferation of different resources available on the Grid, today, it is vital to optimally discover the appropriate resource from amongst a repository of the resources...
Ami T. Choksi, Devesh Jinwala
JSA
2006
82views more  JSA 2006»
13 years 7 months ago
A flocking based algorithm for document clustering analysis
ct 7 Social animals or insects in nature often exhibit a form of emergent collective behavior known as flocking. In this paper, 8 we present a novel Flocking based approach for doc...
Xiaohui Cui, Jinzhu Gao, Thomas E. Potok
ICWN
2008
13 years 9 months ago
Progressive Content-Sensitive Data Retrieval in Sensor Networks
: Problem statement: For a sensor network comprising autonomous and self-organizing data sources, efficient similarity-based search for semantic-rich resources (such as video data)...
Bo Yang, Mareboyana Manohar, Shaoying Kou
FUZZIEEE
2007
IEEE
14 years 1 months ago
A Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports
—In the past, we proposed a genetic-fuzzy data-mining algorithm for extracting both association rules and membership functions from quantitative transactions under a single minim...
Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, C...