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ICMLA
2008
13 years 10 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...
SIGIR
2004
ACM
14 years 2 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
SC
2003
ACM
14 years 2 months ago
Multi-Constraint Mesh Partitioning for Contact/Impact Computations
We present a novel approach for decomposing contact/impact computations in which the mesh elements come in contact with each other during the course of the simulation. Effective d...
George Karypis
AUSDM
2006
Springer
110views Data Mining» more  AUSDM 2006»
14 years 20 days ago
Discovering Debtor Patterns of Centrelink Customers
Data mining is currently becoming an increasingly hot research field, but a large gap still remains between the research of data mining and its application in real-world business....
Yanchang Zhao, Longbing Cao, Yvonne Morrow, Yuming...
WIA
2000
Springer
14 years 15 days ago
MONA Implementation Secrets
The Mona tool provides an implementation of the decision procedures for the logics WS1S and WS2S. It has been used for numerous applications, and it is remarkably efficient in prac...
Nils Klarlund, Anders Møller, Michael I. Sc...