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JMLR
2010
165views more  JMLR 2010»
14 years 6 months ago
Feature Selection: An Ever Evolving Frontier in Data Mining
The rapid advance of computer technologies in data processing, collection, and storage has provided unparalleled opportunities to expand capabilities in production, services, comm...
Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao
ICDE
2008
IEEE
498views Database» more  ICDE 2008»
16 years 11 months ago
Injector: Mining Background Knowledge for Data Anonymization
Existing work on privacy-preserving data publishing cannot satisfactorily prevent an adversary with background knowledge from learning important sensitive information. The main cha...
Tiancheng Li, Ninghui Li
PKDD
2004
Springer
131views Data Mining» more  PKDD 2004»
15 years 5 months ago
Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
Adriano Veloso, Wagner Meira Jr., Renato Ferreira,...
CIKM
1999
Springer
15 years 4 months ago
Mining Inter-Transaction Associations with Templates
Multi-dimensional, inter-transaction association rules extend the traditional association rules to describe more general associations among items with multiple properties cross tr...
Ling Feng, Hongjun Lu, Jeffrey Xu Yu, Jiawei Han
DAWAK
2010
Springer
15 years 1 months ago
Mining Closed Itemsets in Data Stream Using Formal Concept Analysis
Mining of frequent closed itemsets has been shown to be more efficient than mining frequent itemsets for generating non-redundant association rules. The task is challenging in data...
Anamika Gupta, Vasudha Bhatnagar, Naveen Kumar