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CORR
2008
Springer
115views Education» more  CORR 2008»
14 years 9 months ago
New probabilistic interest measures for association rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. Many different measures of interestingness have been proposed for ...
Michael Hahsler, Kurt Hornik
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
15 years 4 months ago
On the (In)Security and (Im)Practicality of Outsourcing Precise Association Rule Mining
—The recent interest in outsourcing IT services onto the cloud raises two main concerns: security and cost. One task that could be outsourced is data mining. In VLDB 2007, Wong e...
Ian Molloy, Ninghui Li, Tiancheng Li
FUZZIEEE
2007
IEEE
15 years 4 months ago
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
Rafael Alcalá, Jesús Alcalá-F...
80
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IDEAL
2003
Springer
15 years 2 months ago
Association Rule Mining Algorithms for Set-Valued Data
This paper presents an association rule mining system that is capable of handling set-valued attributes. Our previous research has exposed us to a variety of real-world biological ...
Christopher A. Shoemaker, Carolina Ruiz
WISE
2000
Springer
15 years 2 months ago
Online Web Mining Transactions Association Rules using Frame Metadata Model
In this paper, we introduce a frame metadata model to facilitate the continuous association rules of web transactions. A new set of association rules can be derived with the updat...
Joseph Fong, John G. Hughes, Jianhan Zhu