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193
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CEC
2008
IEEE
16 years 2 months ago
Distributed multi-relational data mining based on genetic algorithm
—An efficient algorithm for mining important association rule from multi-relational database using distributed mining ideas. Most existing data mining approaches look for rules i...
Wenxiang Dou, Jinglu Hu, Kotaro Hirasawa, Gengfeng...
205
Voted
ICDE
2007
IEEE
179views Database» more  ICDE 2007»
16 years 1 months ago
A New ILP-based Concept Discovery Method for Business Intelligence
In this work, we propose a multi-relational concept discovery method for business intelligence applications. Multi-relational data mining finds interesting patterns that span ove...
Seda Daglar Toprak, Pinar Senkul, Yusuf Kavurucu, ...
218
Voted
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
16 years 1 months ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov
WEBI
2005
Springer
16 years 1 months ago
A Novel Way of Computing Similarities between Nodes of a Graph, with Application to Collaborative Recommendation
This work presents a new perspective on characterizing the similarity between elements of a database or, more generally, nodes of a weighted, undirected, graph. It is based on a M...
François Fouss, Alain Pirotte, Marco Saeren...
MSR
2009
ACM
16 years 5 days ago
On mining data across software repositories
Software repositories provide abundance of valuable information about open source projects. With the increase in the size of the data maintained by the repositories, automated ext...
Prasanth Anbalagan, Mladen A. Vouk