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ICDE
1998
IEEE
270views Database» more  ICDE 1998»
14 years 8 months ago
Cyclic Association Rules
We study the problem of discovering association rules that display regular cyclic variation over time. For example, if we compute association rules over monthly sales data, we may...
Banu Özden, Sridhar Ramaswamy, Abraham Silber...
BIBM
2008
IEEE
170views Bioinformatics» more  BIBM 2008»
14 years 1 months ago
Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm
— Protein sequence motifs information is crucial to the analysis of biologically significant regions. The conserved regions have the potential to determine the role of the protei...
Bernard Chen, Jieyue He, Stephen Pellicer, Yi Pan
DATAMINE
2007
101views more  DATAMINE 2007»
13 years 7 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
DAWAK
2004
Springer
13 years 11 months ago
PROWL: An Efficient Frequent continuity Mining Algorithm on Event Sequences
Mining association rule in event sequences is an important data mining problem with many applications. Most of previous studies on association rules are on mining intra-transaction...
Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin
IIS
2001
13 years 8 months ago
Discovering Multi-head Attributional Rules in Large Databases
: A method for discovering multi-head attributional rules in large databases is presented and illustrated by results from an implemented program. Attributional rules (a.k.a. attrib...
Jerzy Clowinski, Ryszard S. Michalski