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ICDM
2006
IEEE
115views Data Mining» more  ICDM 2006»
16 years 27 days ago
Multi-Tier Granule Mining for Representations of Multidimensional Association Rules
It is a big challenge to promise the quality of multidimensional association mining. The essential issue is how to represent meaningful multidimensional association rules efficien...
Yuefeng Li, Wanzhong Yang, Yue Xu
ICDM
2006
IEEE
113views Data Mining» more  ICDM 2006»
16 years 27 days ago
Mining Maximal Generalized Frequent Geographic Patterns with Knowledge Constraints
In frequent geographic pattern mining a large amount of patterns is well known a priori. This paper presents a novel approach for mining frequent geographic patterns without assoc...
Vania Bogorny, João Francisco Valiati, Sand...
ICDM
2002
IEEE
178views Data Mining» more  ICDM 2002»
15 years 11 months ago
gSpan: Graph-Based Substructure Pattern Mining
We investigate new approaches for frequent graph-based pattern mining in graph datasets and propose a novel algorithm called gSpan (graph-based Substructure pattern mining), which...
Xifeng Yan, Jiawei Han
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
15 years 11 months ago
Mining Association Rules with Item Constraints
The problem of discovering association rules has received considerable research attention and several fast algorithms for mining association rules have been developed. In practice...
Ramakrishnan Srikant, Quoc Vu, Rakesh Agrawal
DAWAK
2007
Springer
15 years 10 months ago
Mining First-Order Temporal Interval Patterns with Regular Expression Constraints
Most methods for temporal pattern mining assume that time is represented by points in a straight line starting at some initial instant. In this paper, we consider a new kind of fir...
Sandra de Amo, Arnaud Giacometti, Waldecir Pereira...