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DATAMINE
2006
230views more  DATAMINE 2006»
14 years 9 months ago
Mining top-K frequent itemsets from data streams
Frequent pattern mining on data streams is of interest recently. However, it is not easy for users to determine a proper frequency threshold. It is more reasonable to ask users to ...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu
DATAMINE
2007
93views more  DATAMINE 2007»
14 years 9 months ago
Evaluation of ordinal attributes at value level
We propose a novel context sensitive algorithm for evaluation of ordinal attributes which exploits the information hidden in ordering of attributes’ and class’ values and prov...
Marko Robnik-Sikonja, Koen Vanhoof
DATAMINE
2007
101views more  DATAMINE 2007»
14 years 9 months ago
Using metarules to organize and group discovered association rules
The high dimensionality of massive data results in the discovery of a large number of association rules. The huge number of rules makes it difficult to interpret and react to all ...
Abdelaziz Berrado, George C. Runger
DATAMINE
2002
125views more  DATAMINE 2002»
14 years 9 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...
DATAMINE
2002
104views more  DATAMINE 2002»
14 years 9 months ago
Cubegrades: Generalizing Association Rules
Cubegrades are generalization of association rules which represent how a set of measures (aggregates) is affected by modifying a cube through specialization (rolldown), generaliza...
Tomasz Imielinski, Leonid Khachiyan, Amin Abdulgha...