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» Mining Large Itemsets for Association Rules
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IDEAL
2003
Springer
15 years 5 months ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis
113
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DSS
2007
127views more  DSS 2007»
15 years 20 days ago
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...
ICDM
2003
IEEE
141views Data Mining» more  ICDM 2003»
15 years 6 months ago
Association Rule Mining in Peer-to-Peer Systems
We extend the problem of association rule mining – a key data mining problem – to systems in which the database is partitioned among a very large number of computers that are ...
Ran Wolff, Assaf Schuster
CORR
2010
Springer
94views Education» more  CORR 2010»
15 years 23 days 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...
SIGMOD
2004
ACM
196views Database» more  SIGMOD 2004»
16 years 25 days ago
FARMER: Finding Interesting Rule Groups in Microarray Datasets
Microarray datasets typically contain large number of columns but small number of rows. Association rules have been proved to be useful in analyzing such datasets. However, most e...
Gao Cong, Anthony K. H. Tung, Xin Xu, Feng Pan, Ji...