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KES
2004
Springer
14 years 1 months ago
FIT: A Fast Algorithm for Discovering Frequent Itemsets in Large Databases
Association rule mining is an important data mining problem that has been studied extensively. In this paper, a simple but Fast algorithm for Intersecting attribute lists using a ...
Jun Luo, Sanguthevar Rajasekaran
IJAIT
2007
180views more  IJAIT 2007»
13 years 8 months ago
Detection and Prediction of Rare Events in Transaction Databases
Rare events analysis is an area that includes methods for the detection and prediction of events, e.g. a network intrusion or an engine failure, that occur infrequently and have s...
Christos Berberidis, Ioannis P. Vlahavas
ICDE
2004
IEEE
133views Database» more  ICDE 2004»
14 years 10 months ago
GenExplore: Interactive Exploration of Gene Interactions from Microarray Data
DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Yong Ye, Xintao Wu, Kalpathi R. Subramanian, Liyin...
ISESE
2006
IEEE
14 years 2 months ago
Using observational pilot studies to test and improve lab packages
Controlled experiments are a key approach to evaluate and evolve our understanding of software engineering technologies. However, defining and running a controlled experiment is a...
Manoel G. Mendonça, Daniela Cruzes, Josemei...
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 9 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu