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DAWAK
2008
Springer
15 years 5 months ago
Efficient Approximate Mining of Frequent Patterns over Transactional Data Streams
Abstract. We investigate the problem of finding frequent patterns in a continuous stream of transactions. It is recognized that the approximate solutions are usually sufficient and...
Willie Ng, Manoranjan Dash
BIRD
2007
Springer
154views Bioinformatics» more  BIRD 2007»
15 years 10 months ago
Mining Spatial Gene Expression Data for Association Rules
Abstract. We analyse data from the Edinburgh Mouse Atlas GeneExpression Database (EMAGE) which is a high quality data source for spatio-temporal gene expression patterns. Using a n...
Jano I. van Hemert, Richard A. Baldock
DSS
2007
127views more  DSS 2007»
15 years 3 months 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...
JDWM
2007
84views more  JDWM 2007»
15 years 3 months ago
A Look back at the PAKDD Data Mining Competition 2006
The PAKDD Competition 2006 involved the problem of classifying mobile telecom network customers into 2G and 3G, with the ultimate aim of identifying existing 2G network customers w...
Nathaniel B. Noriel, Chew Lim Tan
ICDM
2002
IEEE
108views Data Mining» more  ICDM 2002»
15 years 9 months ago
Mining Association Rules from Stars
Association rule mining is an important data mining problem. It is found to be useful for conventional relational data. However, previous work has mostly targeted on mining a sing...
Eric Ka Ka Ng, Ada Wai-Chee Fu, Ke Wang