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JIS
2007
95views more  JIS 2007»
13 years 8 months ago
Combined association rules for dealing with missing values
With the rapid increase in the use of databases, the problem of missing values inevitably arises. The techniques developed to effectively recover these missing values should be hi...
Jau-Ji Shen, Chin-Chen Chang, Yu-Chiang Li
HAIS
2011
Springer
13 years 5 days ago
Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm
A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifie...
Stephen G. Matthews, Mario A. Góngora, Adri...
ADMA
2008
Springer
186views Data Mining» more  ADMA 2008»
14 years 3 months ago
A Distributed Privacy-Preserving Association Rules Mining Scheme Using Frequent-Pattern Tree
Association rules mining is a frequently used technique which finds interesting association and correlation relationships among large set of data items which occur frequently toge...
Chunhua Su, Kouichi Sakurai
ICDM
2007
IEEE
134views Data Mining» more  ICDM 2007»
14 years 3 months ago
On Regional Association Rule Scoping
A special challenge for spatial data mining is that information is not distributed uniformly in spatial data sets. Consequently, the discovery of regional knowledge is of fundamen...
Wei Ding 0003, Christoph F. Eick, Xiaojing Yuan, J...
ICDE
1998
IEEE
270views Database» more  ICDE 1998»
14 years 10 months ago
Cyclic Association Rules
We study the problem of discovering association rules that display regular cyclic variation over time. For example, if we compute association rules over monthly sales data, we may...
Banu Özden, Sridhar Ramaswamy, Abraham Silber...