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» An Approximate Approach for Mining Recently Frequent Itemset...
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ICDE
2000
IEEE
118views Database» more  ICDE 2000»
14 years 10 months ago
Mining Recurrent Items in Multimedia with Progressive Resolution Refinement
Despite the overwhelming amounts of multimedia data recently generated and the significance of such data, very few people have systematically investigated multimedia data mining. ...
Hua Zhu, Jiawei Han, Osmar R. Zaïane
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
14 years 2 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
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
KDD
2006
ACM
107views Data Mining» more  KDD 2006»
14 years 9 months ago
Out-of-core frequent pattern mining on a commodity PC
In this work we focus on the problem of frequent itemset mining on large, out-of-core data sets. After presenting a characterization of existing out-of-core frequent itemset minin...
Gregory Buehrer, Srinivasan Parthasarathy, Amol Gh...
CIKM
2006
Springer
14 years 15 days ago
An integer programming approach for frequent itemset hiding
The rapid growth of transactional data brought, soon enough, into attention the need of its further exploitation. In this paper, we investigate the problem of securing sensitive k...
Aris Gkoulalas-Divanis, Vassilios S. Verykios