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PAKDD
1999
ACM
149views Data Mining» more  PAKDD 1999»
14 years 2 months ago
An Analysis of Quantitative Measures Associated with Rules
In this paper, we analyze quantitative measures associated with if-then type rules. Basic quantities are identified and many existing measures are examined using the basic quantit...
Yiyu Yao, Ning Zhong
ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
14 years 4 months ago
Noise Modeling with Associative Corruption Rules
This paper presents an active learning approach to the problem of systematic noise inference and noise elimination, specifically the inference of Associated Corruption (AC) rules...
Yan Zhang, Xindong Wu
CORR
2010
Springer
161views Education» more  CORR 2010»
13 years 10 months ago
Database Reverse Engineering based on Association Rule Mining
Maintaining a legacy database is a difficult task especially when system documentation is poor written or even missing. Database reverse engineering is an attempt to recover high-...
Nattapon Pannurat, Nittaya Kerdprasop, Kittisak Ke...
CEC
2007
IEEE
14 years 2 months ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...
DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
14 years 1 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith