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SPAA
1997
ACM
13 years 11 months ago
A Localized Algorithm for Parallel Association Mining
Discovery of association rules is an important database mining problem. Mining for association rules involves extracting patterns from large databases and inferring useful rules f...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...
KES
2004
Springer
14 years 25 days 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
TEC
2008
104views more  TEC 2008»
13 years 7 months ago
Genetic-Fuzzy Data Mining With Divide-and-Conquer Strategy
Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction data i...
Tzung-Pei Hong, Chun-Hao Chen, Yeong-Chyi Lee, Yu-...
SOFTVIS
2005
ACM
14 years 1 months ago
Visual data mining in software archives
Software archives contain historical information about the development process of a software system. Using data mining techniques rules can be extracted from these archives. In th...
Michael Burch, Stephan Diehl, Peter Weißgerb...
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
14 years 7 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer