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ICMLA
2008
14 years 11 months ago
Comparison with Parametric Optimization in Credit Card Fraud Detection
We apply five classification methods, Neural Nets(NN), Bayesian Nets(BN), Naive Bayes(NB), Artificial Immune Systems(AIS) [4] and Decision Trees(DT), to credit card fraud detectio...
Manoel Fernando Alonso Gadi, Xidi Wang, Alair Pere...
CATE
2004
190views Education» more  CATE 2004»
14 years 11 months ago
Enhancing Online Learning Performance: An Application of Data Mining Methods
Recently web-based educational systems collect vast amounts of data on user patterns, and data mining methods can be applied to these databases to discover interesting associations...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
TREC
2004
14 years 11 months ago
Can We Get A Better Retrieval Function From Machine?
The quality of an information retrieval system heavily depends on its retrieval function, which returns a similarity measurement between the query and each document in the collect...
Weiguo Fan, Wensi Xi, Edward A. Fox, Li Wang
ICGA
1997
122views Optimization» more  ICGA 1997»
14 years 11 months ago
A Comparison of Global and Local Search Methods in Drug Docking
Molecular docking software makes computational predictions of the interaction of molecules. This can be useful, for example, in evaluating the binding of candidate drug molecules ...
Christopher D. Rosin, R. Scott Halliday, William E...
HPDC
2010
IEEE
14 years 10 months ago
MPIPairwiseStatSig: parallel pairwise statistical significance estimation of local sequence alignment
Sequence comparison is considered as a cornerstone application in bioinformatics, which forms the basis of many other applications. In particular, pairwise sequence alignment is a...
Ankit Agrawal, Sanchit Misra, Daniel Honbo, Alok N...