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» Rule Preference Effect in Associative Classification Mining
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DKE
2008
159views more  DKE 2008»
13 years 9 months ago
Isolated items discarding strategy for discovering high utility itemsets
Traditional methods of association rule mining consider the appearance of an item in a transaction, whether or not it is purchased, as a binary variable. However, customers may pu...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
IPCCC
2007
IEEE
14 years 3 months ago
SpyCon: Emulating User Activities to Detect Evasive Spyware
The success of any spyware is determined by its ability to evade detection. Although traditional detection methodologies employing signature and anomaly based systems have had rea...
Madhusudhanan Chandrasekaran, Vidyaraman Vidyarama...
ANCS
2007
ACM
14 years 1 months ago
A programmable message classification engine for session initiation protocol (SIP)
Session Initiation Protocol (SIP) has begun to be widely deployed for multiple services such as VoIP, Instant Messaging and Presence. Each of these services uses different SIP mes...
Arup Acharya, Xiping Wang, Charles Wright
ICTAI
2007
IEEE
14 years 3 months ago
Exploratory Quantitative Contrast Set Mining: A Discretization Approach
Contrast sets have been shown to be a useful tool for describing differences between groups. A contrast set is a set of association rules for which the antecedents describe distin...
Mondelle Simeon, Robert J. Hilderman
ICDE
2006
IEEE
165views Database» more  ICDE 2006»
14 years 3 months ago
Privacy Preserving Clustering on Horizontally Partitioned Data
Data mining has been a popular research area for more than a decade due to its vast spectrum of applications. The power of data mining tools to extract hidden information that can...
Ali Inan, Yücel Saygin, Erkay Savas, Ay&ccedi...