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ICDE
2005
IEEE
146views Database» more  ICDE 2005»
14 years 9 months ago
Mining Evolving Customer-Product Relationships in Multi-Dimensional Space
Previous work on mining transactional database has focused primarily on mining frequent itemsets, association rules, and sequential patterns. However, interesting relationships be...
Xiaolei Li, Jiawei Han, Xiaoxin Yin, Dong Xin
CIDM
2009
IEEE
14 years 2 months ago
An improved multiple minimum support based approach to mine rare association rules
Abstract—In this paper we have proposed an improved approach to extract rare association rules. Rare association rules are the association rules containing rare items. Rare items...
R. Uday Kiran, P. Krishna Reddy
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
14 years 8 months ago
Real world performance of association rule algorithms
This study compares five well-known association rule algorithms using three real-world datasets and an artificial dataset. The experimental results confirm the performance improve...
Zijian Zheng, Ron Kohavi, Llew Mason
AICCSA
2008
IEEE
216views Hardware» more  AICCSA 2008»
13 years 7 months ago
Mining fault tolerant frequent patterns using pattern growth approach
Mining fault tolerant (FT) frequent patterns from transactional datasets are very complex than mining all frequent patterns (itemsets), in terms of both search space exploration a...
Shariq Bashir, Zahid Halim, Abdul Rauf Baig
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
14 years 8 months ago
Effective and efficient itemset pattern summarization: regression-based approaches
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan