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» Mining Association Rules in Hypertext Databases
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DASFAA
2004
IEEE
164views Database» more  DASFAA 2004»
14 years 16 days 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
AIME
2009
Springer
13 years 6 months ago
Mining Safety Signals in Spontaneous Reports Database Using Concept Analysis
Abstract. In pharmacovigilance, linking the adverse reactions by patients to drugs they took is a key activity typically based on the analysis of patient reports. Yet generating po...
Mohamed Rouane Hacene, Yannick Toussaint, Petko Va...
KDD
2002
ACM
106views Data Mining» more  KDD 2002»
14 years 9 months ago
Selecting the right interestingness measure for association patterns
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
BTW
1999
Springer
145views Database» more  BTW 1999»
14 years 1 months ago
A Multi-Tier Architecture for High-Performance Data Mining
Data mining has been recognised as an essential element of decision support, which has increasingly become a focus of the database industry. Like all computationally expensive data...
Ralf Rantzau, Holger Schwarz
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
14 years 9 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