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» Ontology-Enhanced Association Mining
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BMCBI
2007
147views more  BMCBI 2007»
13 years 10 months ago
Predicting combinatorial binding of transcription factors to regulatory elements in the human genome by association rule mining
Background: Cis-acting transcriptional regulatory elements in mammalian genomes typically contain specific combinations of binding sites for various transcription factors. Althoug...
Xochitl C. Morgan, Shulin Ni, Daniel P. Miranker, ...
KAIS
2008
119views more  KAIS 2008»
13 years 10 months ago
An information-theoretic approach to quantitative association rule mining
Abstract. Quantitative Association Rule (QAR) mining has been recognized an influential research problem over the last decade due to the popularity of quantitative databases and th...
Yiping Ke, James Cheng, Wilfred Ng
ICSE
2009
IEEE-ACM
14 years 4 months ago
Mining exception-handling rules as sequence association rules
Programming languages such as Java and C++ provide exception-handling constructs to handle exception conditions. Applications are expected to handle these exception conditions and...
Suresh Thummalapenta, Tao Xie
EMS
2008
IEEE
14 years 4 months ago
A Weighted Utility Framework for Mining Association Rules
Association rule mining (ARM) identifies frequent itemsets from databases and generates association rules by assuming that all items have the same significance and frequency of oc...
M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen
DAWAK
2004
Springer
14 years 3 months ago
A Tree Partitioning Method for Memory Management in Association Rule Mining
All methods of association rule mining require the frequent sets of items, that occur together sufficiently often to be the basis of potentially interesting rules, to be first com...
Shakil Ahmed, Frans Coenen, Paul H. Leng