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» Set-Oriented Mining for Association Rules in Relational Data...
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KDD
2002
ACM
106views Data Mining» more  KDD 2002»
16 years 1 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»
15 years 5 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»
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
WWW
2007
ACM
16 years 2 months ago
Mirror site maintenance based on evolution associations of web directories
Mirroring Web sites is a well-known technique commonly used in the Web community. A mirror site should be updated frequently to ensure that it reflects the content of the original...
Ling Chen 0002, Sourav S. Bhowmick, Wolfgang Nejdl
ADC
2003
Springer
182views Database» more  ADC 2003»
15 years 6 months ago
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
Yudho Giri Sucahyo, Raj P. Gopalan