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» Attribute Generation Based on Association Rules
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101
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SC
2003
ACM
15 years 6 months ago
Synthesizing Realistic Computational Grids
Realistic workloads are essential in evaluating middleware for computational grids. One important component is the raw grid itself: a network topology graph annotated with the har...
Dong Lu, Peter A. Dinda
105
Voted
IFIP12
2008
15 years 2 months ago
Agent Based Frequent Set Meta Mining: Introducing EMADS
In this paper we: introduce EMADS, the Extendible Multi-Agent Data mining System, to support the dynamic creation of communities of data mining agents; explore the capabilities of ...
Kamal Ali Albashiri, Frans Coenen, Paul H. Leng
111
Voted
CORR
2010
Springer
279views Education» more  CORR 2010»
15 years 23 days ago
Mining Frequent Itemsets Using Genetic Algorithm
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
Soumadip Ghosh, Sushanta Biswas, Debasree Sarkar, ...
118
Voted
FIMI
2003
210views Data Mining» more  FIMI 2003»
15 years 2 months ago
COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation
Existing association rule mining algorithms suffer from many problems when mining massive transactional datasets. Some of these major problems are: (1) the repetitive I/O disk sca...
Osmar R. Zaïane, Mohammad El-Hajj
88
Voted
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
16 years 1 months ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici