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» An Iterative Method for Mining Frequent Temporal Patterns
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ICDE
2008
IEEE
120views Database» more  ICDE 2008»
14 years 10 months ago
Direct Discriminative Pattern Mining for Effective Classification
The application of frequent patterns in classification has demonstrated its power in recent studies. It often adopts a two-step approach: frequent pattern (or classification rule) ...
Hong Cheng, Xifeng Yan, Jiawei Han, Philip S. Yu
AICCSA
2006
IEEE
218views Hardware» more  AICCSA 2006»
14 years 2 months ago
Performance Comparison of Pattern Discovery Methods on Web Log Data
One of the popular trends in computer science has been development of intelligent web-based systems. Demand for such systems forces designers to make use of knowledge discovery te...
Murat Ali Bayir, Ismail H. Toroslu, Ahmet Cosar
KDD
2002
ACM
144views Data Mining» more  KDD 2002»
14 years 9 months ago
Efficiently mining frequent trees in a forest
Mining frequent trees is very useful in domains like bioinformatics, web mining, mining semi-structured data, and so on. We formulate the problem of mining (embedded) subtrees in ...
Mohammed Javeed Zaki
KDD
2007
ACM
170views Data Mining» more  KDD 2007»
14 years 9 months ago
From frequent itemsets to semantically meaningful visual patterns
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Junsong Yuan, Ying Wu, Ming Yang
DAWAK
2007
Springer
14 years 16 days 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...