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» New probabilistic interest measures for association rules
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GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
15 years 5 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...
BMCBI
2008
93views more  BMCBI 2008»
14 years 12 months ago
Ranking single nucleotide polymorphisms by potential deleterious effects
Identifying single nucleotide polymorphisms (SNPs) that are responsible for common and complex diseases such as cancer is of major interest in current molecular epidemiology. Howe...
Phil Hyoun Lee, Hagit Shatkay
ICAPR
2005
Springer
15 years 5 months ago
Fingerprint Image Enhancement Using STFT Analysis
Contrary to popular belief, despite decades of research in fingerprints, reliable fingerprint recognition is an open problem. Extracting features out of poor quality prints is t...
Sharat Chikkerur, Venu Govindaraju, Alexander N. C...
ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
15 years 5 months ago
Average Number of Frequent (Closed) Patterns in Bernouilli and Markovian Databases
In data mining, enumerate the frequent or the closed patterns is often the first difficult task leading to the association rules discovery. The number of these patterns represen...
Loïck Lhote, François Rioult, Arnaud S...
WWW
2007
ACM
16 years 13 days ago
First-order focused crawling
This paper reports a new general framework of focused web crawling based on "relational subgroup discovery". Predicates are used explicitly to represent the relevance cl...
Qingyang Xu, Wanli Zuo