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DAWAK
2008
Springer
13 years 11 months ago
Mining Serial Episode Rules with Time Lags over Multiple Data Streams
The problem of discovering episode rules from static databases has been studied for years due to its wide applications in prediction. In this paper, we make the first attempt to st...
Tung-Ying Lee, En Tzu Wang, Arbee L. P. Chen
FPL
2008
Springer
122views Hardware» more  FPL 2008»
13 years 11 months ago
Mining Association Rules with systolic trees
Association Rules Mining (ARM) algorithms are designed to find sets of frequently occurring items in large databases. ARM applications have found their way into a variety of field...
Song Sun, Joseph Zambreno
DMIN
2006
106views Data Mining» more  DMIN 2006»
13 years 11 months ago
A Medical Claim Fraud/Abuse Detection System based on Data Mining: A Case Study in Chile
This paper describes an effective medical claim fraud/abuse detection system based on data mining used by a Chilean private health insurance company. Fraud and abuse in medical cla...
Pedro A. Ortega, Cristián J. Figueroa, Gonz...
TSE
2008
113views more  TSE 2008»
13 years 9 months ago
Discovering Neglected Conditions in Software by Mining Dependence Graphs
Neglected conditions are an important but difficult-to-find class of software defects. This paper presents a novel approach for revealing neglected conditions that integrates stati...
Ray-Yaung Chang, Andy Podgurski, Jiong Yang
PODS
2009
ACM
134views Database» more  PODS 2009»
14 years 10 months ago
An efficient rigorous approach for identifying statistically significant frequent itemsets
As advances in technology allow for the collection, storage, and analysis of vast amounts of data, the task of screening and assessing the significance of discovered patterns is b...
Adam Kirsch, Michael Mitzenmacher, Andrea Pietraca...