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KDD
1997
ACM
122views Data Mining» more  KDD 1997»
14 years 1 days ago
Computing Optimized Rectilinear Regions for Association Rules
We address the problem of nding useful regions for two-dimensional association rules and decision trees. In a previous paper we presented ecient algorithms for computing optimiz...
Kunikazu Yoda, Takeshi Fukuda, Yasuhiko Morimoto, ...
LAWEB
2003
IEEE
14 years 1 months ago
Using Association Rules to Discover Search Engines Related Queries
This work presents a method for automatic generate suggestions of related queries submitted to Web search engines. The method extracts information from the log of past submitted q...
Bruno M. Fonseca, Paulo Braz Golgher, Edleno Silva...
CORR
2004
Springer
146views Education» more  CORR 2004»
13 years 7 months ago
Mining Frequent Itemsets from Secondary Memory
Mining frequent itemsets is at the core of mining association rules, and is by now quite well understood algorithmically for main memory databases. In this paper, we investigate a...
Gösta Grahne, Jianfei Zhu
SPAA
1997
ACM
14 years 2 days ago
A Localized Algorithm for Parallel Association Mining
Discovery of association rules is an important database mining problem. Mining for association rules involves extracting patterns from large databases and inferring useful rules f...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...
CORR
2010
Springer
173views Education» more  CORR 2010»
13 years 5 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat