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KDD
2002
ACM
140views Data Mining» more  KDD 2002»
14 years 7 months ago
Mining frequent item sets by opportunistic projection
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han
RCIS
2010
13 years 5 months ago
A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Jia-Ling Koh, Yi-Lang Tu
WISE
2002
Springer
13 years 12 months ago
Log Mining to Improve the Performance of Site Search
Despite of the popularity of global search engines, people still suffer from low accuracy of site search. The primary reason lies in the difference of link structures and data sca...
Gui-Rong Xue, Hua-Jun Zeng, Zheng Chen, Wei-Ying M...
KDD
2007
ACM
566views Data Mining» more  KDD 2007»
14 years 7 months ago
IMDS: intelligent malware detection system
The proliferation of malware has presented a serious threat to the security of computer systems. Traditional signature-based antivirus systems fail to detect polymorphic and new, ...
Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye
CPP
2011
107views more  CPP 2011»
12 years 6 months ago
Simple, Functional, Sound and Complete Parsing for All Context-Free Grammars
Parsing text to identify grammatical structure is a common task, especially in relation to programming languages and associated tools such as compilers. Parsers for context-free g...
Tom Ridge