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CIMCA
2005
IEEE
16 years 9 days ago
Mining for Useful Association Rules Using the ATMS
Association rule mining has made many achievements in the area of knowledge discovery in databases. Recent years, the quality of the extracted association rules has drawn more and...
Yue Xu, Yuefeng Li
ICDE
2004
IEEE
116views Database» more  ICDE 2004»
16 years 8 months ago
An Efficient Algorithm for Mining Frequent Sequences by a New Strategy without Support Counting
Mining sequential patterns in large databases is an important research topic. The main challenge of mining sequential patterns is the high processing cost due to the large amount ...
Ding-Ying Chiu, Yi-Hung Wu, Arbee L. P. Chen
FQAS
2004
Springer
135views Database» more  FQAS 2004»
15 years 10 months ago
Interactive Schema Integration with Sphinx
Abstract. The Internet has instigated a critical need for automated tools that facilitate integrating countless databases. Since non-technical end users are often the ultimate repo...
François Barbançon, Daniel P. Mirank...
191
Voted
SDM
2008
SIAM
125views Data Mining» more  SDM 2008»
15 years 8 months ago
Mining and Ranking Generators of Sequential Patterns
Sequential pattern mining first proposed by Agrawal and Srikant has received intensive research due to its wide range applicability in many real-life domains. Various improvements...
David Lo, Siau-Cheng Khoo, Jinyan Li
KDD
1999
ACM
108views Data Mining» more  KDD 1999»
15 years 11 months ago
Mining the Most Interesting Rules
Several algorithms have been proposed for finding the “best,” “optimal,” or “most interesting” rule(s) in a database according to a variety of metrics including confid...
Roberto J. Bayardo Jr., Rakesh Agrawal