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» Evaluation of Sampling for Data Mining of Association Rules
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111
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AUSDM
2008
Springer
221views Data Mining» more  AUSDM 2008»
15 years 2 months ago
Mining Medical Specialist Billing Patterns for Health Service Management
This paper presents an application of association rule mining in compliance in the context of health service management. There are approximately 500 million transactions processed...
Yin Shan, David Jeacocke, D. Wayne Murray, Alison ...
KDD
2006
ACM
198views Data Mining» more  KDD 2006»
16 years 1 months ago
CFI-Stream: mining closed frequent itemsets in data streams
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
Nan Jiang, Le Gruenwald
CLA
2007
15 years 2 months ago
ZART: A Multifunctional Itemset Mining Algorithm
Abstract. In this paper, we present and detail a multifunctional itemset mining algorithm called Zart, which is based on the Pascal algorithm. Zart shows a number of additional fea...
Laszlo Szathmary, Amedeo Napoli, Sergei O. Kuznets...
82
Voted
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
16 years 1 months ago
Discovering significant rules
In many applications, association rules will only be interesting if they represent non-trivial correlations between all constituent items. Numerous techniques have been developed ...
Geoffrey I. Webb
DASFAA
2004
IEEE
164views Database» more  DASFAA 2004»
15 years 4 months ago
On Addressing Efficiency Concerns in Privacy-Preserving Mining
Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. To encourage users to...
Shipra Agrawal, Vijay Krishnan, Jayant R. Haritsa