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DIS
2006
Springer
14 years 10 days ago
Symmetric Item Set Mining Based on Zero-Suppressed BDDs
In this paper, we propose a method for discovering hidden information from large-scale item set data based on the symmetry of items. Symmetry is a fundamental concept in the theory...
Shin-ichi Minato
KDD
1995
ACM
104views Data Mining» more  KDD 1995»
14 years 6 days ago
Using Rough Sets as Tools for Knowledge Discovery
An attribute-oriented rough set method for knowledgediscovery in databases is described. Themethodis based on information generalization, whichexaminesthe data at various levels o...
Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Ni...
ICONIP
2007
13 years 10 months ago
Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes
Abstract. An effective way to examine causality is to conduct an experiment with random assignment. However, in many cases it is impossible or too expensive to perform controlled ...
Shohei Shimizu, Aapo Hyvärinen
KES
2008
Springer
13 years 8 months ago
Visual Analysis Tool for Bipartite Networks
Abstract. To find hidden features of co-authoring relationships, we focused on drawing techniques for bipartite graphs. We previously developed a drawing method called "anchor...
Kazuo Misue
DATAMINE
1998
126views more  DATAMINE 1998»
13 years 8 months ago
An Extension to SQL for Mining Association Rules
Data mining evolved as a collection of applicative problems and efficient solution algorithms relative to rather peculiar problems, all focused on the discovery of relevant infor...
Rosa Meo, Giuseppe Psaila, Stefano Ceri