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» Evolving Temporal Association Rules with Genetic Algorithms
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BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
13 years 8 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya
CORR
2010
Springer
279views Education» more  CORR 2010»
13 years 8 months ago
Mining Frequent Itemsets Using Genetic Algorithm
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
Soumadip Ghosh, Sushanta Biswas, Debasree Sarkar, ...
CORR
2010
Springer
95views Education» more  CORR 2010»
13 years 7 months ago
Towards an incremental maintenance of cyclic association rules
Recently, the cyclic association rules have been introduced in order to discover rules from items characterized by their regular variation over time. In real life situations, temp...
Eya Ben Ahmed, Mohamed Salah Gouider
DATAMINE
1998
126views more  DATAMINE 1998»
13 years 8 months ago
An Extension to SQL for Mining Association Rules
Data mining evolved as a collection of applicative problems and efficient solution algorithms relative to rather peculiar problems, all focused on the discovery of relevant infor...
Rosa Meo, Giuseppe Psaila, Stefano Ceri
ISBI
2011
IEEE
13 years 8 days ago
Boosting power to detect genetic associations in imaging using multi-locus, genome-wide scans and ridge regression
Most algorithms used for imaging genetics examine statistical effects of each individual genetic variant, one at a time. We developed a new approach, based on ridge regression, to...
Omid Kohannim, Derrek P. Hibar, Jason L. Stein, Ne...