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» Mining Frequent Itemsets Using Re-Usable Data Structure
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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
IJFCS
2008
102views more  IJFCS 2008»
13 years 7 months ago
Succinct Minimal Generators: Theoretical Foundations and Applications
In data mining applications, highly sized contexts are handled what usually results in a considerably large set of frequent itemsets, even for high values of the minimum support t...
Tarek Hamrouni, Sadok Ben Yahia, Engelbert Mephu N...
KDD
2005
ACM
92views Data Mining» more  KDD 2005»
14 years 8 months ago
Summarizing itemset patterns: a profile-based approach
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin
KDD
1999
ACM
237views Data Mining» more  KDD 1999»
13 years 12 months ago
Using Association Rules for Product Assortment Decisions: A Case Study
It has been claimed that the discovery of association rules is well-suited for applications of market basket analysis to reveal regularities in the purchase behaviour of customers...
Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert We...
JIIS
2006
119views more  JIIS 2006»
13 years 7 months ago
Answering constraint-based mining queries on itemsets using previous materialized results
Abstract In recent years, researchers have begun to study inductive databases, a new generation of databases for leveraging decision support applications. In this context, the user...
Roberto Esposito, Rosa Meo, Marco Botta