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» Scalable Parallel Data Mining for Association Rules
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ADMA
2008
Springer
152views Data Mining» more  ADMA 2008»
13 years 10 months ago
MPSQAR: Mining Quantitative Association Rules Preserving Semantics
To avoid the loss of semantic information due to the partition of quantitative values, this paper proposes a novel algorithm, called MPSQAR, to handle the quantitative association ...
Chunqiu Zeng, Jie Zuo, Chuan Li, Kaikuo Xu, Shengq...
ICTAI
2003
IEEE
13 years 9 months ago
Parallel Mining of Maximal Frequent Itemsets from Databases
In this paper, we propose a parallel algorithm for mining maximal frequent itemsets from databases. A frequent itemset is maximal if none of its supersets is frequent. The new par...
Soon Myoung Chung, Congnan Luo
CORR
2010
Springer
94views Education» more  CORR 2010»
13 years 4 months ago
Optimal Bangla Keyboard Layout using Association Rule of Data Mining
In this paper we present an optimal Bangla Keyboard Layout, which distributes the load equally on both hands so that maximizing the ease and minimizing the effort. Bangla alphabet...
Md. Hijbul Alam, Abdul Kadar Muhammad Masum, Moham...
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
14 years 5 months ago
Scalable Rule-Based Gene Expression Data Classification
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
Mark A. Iwen, Willis Lang, Jignesh M. Patel
PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
13 years 9 months ago
Self-Similar Mining of Time Association Rules
Although the task of mining association rules has received considerable attention in the literature, algorithms to find time association rules are often inadequate, by either miss...
Daniel Barbará, Ping Chen, Zohreh Nazeri