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» Evaluation of Sampling for Data Mining of Association Rules
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92
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AI
2003
Springer
15 years 5 months ago
Efficient Mining of Indirect Associations Using HI-Mine
Discovering association rules is one of the important tasks in data mining. While most of the existing algorithms are developed for efficient mining of frequent patterns, it has be...
Qian Wan, Aijun An
KDD
1997
ACM
135views Data Mining» more  KDD 1997»
15 years 4 months ago
Brute-Force Mining of High-Confidence Classification Rules
This paper investigates a brute-force technique for mining classification rules from large data sets. We employ an association rule miner enhanced with new pruning strategies to c...
Roberto J. Bayardo Jr.
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
15 years 4 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
113
Voted
HT
2006
ACM
15 years 6 months ago
Hyperlink assessment based on web usage mining
One of the basic methods of web usage mining are association rules that indicate relationships among common use of web pages. Positive and confined negative association rules are ...
Przemyslaw Kazienko, Marcin Pilarczyk
IJNSEC
2010
112views more  IJNSEC 2010»
14 years 7 months ago
Detecting Connection-Chains: A Data Mining Approach
A connection-chain refers to a mechanism in which someone recursively logs into a host, then from there logs into another host, and so on. Connection-chains represent an important...
Ahmad Almulhem, Issa Traoré