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KDD
1997
ACM
109views Data Mining» more  KDD 1997»
15 years 10 months ago
Beyond Concise and Colorful: Learning Intelligible Rules
A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
Michael J. Pazzani, Subramani Mani, William Rodman...
SGAI
2007
Springer
16 years 13 days ago
Frequent Set Meta Mining: Towards Multi-Agent Data Mining
In this paper we describe the concept of Meta ARM in the context of its objectives and challenges and go on to describe and analyse a number of potential solutions. Meta ARM is de...
Kamal Ali Albashiri, Frans Coenen, Robert Sanderso...
AMC
2008
87views more  AMC 2008»
15 years 6 months ago
Mining classification rules with Reduced MEPAR-miner Algorithm
In this study, a new classification technique based on rough set theory and MEPAR-miner algorithm for association rule mining is introduced. Proposed method is called as `Reduced ...
Emel Kizilkaya Aydogan, Cevriye Gencer
WWW
2006
ACM
16 years 7 months ago
Mining related queries from search engine query logs
In this work we propose a method that retrieves a list of related queries given an initial input query. The related queries are based on the query log of previously issued queries...
Xiaodong Shi, Christopher C. Yang
FIMI
2003
210views Data Mining» more  FIMI 2003»
15 years 7 months ago
COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation
Existing association rule mining algorithms suffer from many problems when mining massive transactional datasets. Some of these major problems are: (1) the repetitive I/O disk sca...
Osmar R. Zaïane, Mohammad El-Hajj