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» Using Rough Sets as Tools for Knowledge Discovery
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CINQ
2004
Springer
157views Database» more  CINQ 2004»
15 years 4 months ago
Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
Jean-François Boulicaut
97
Voted
DAGSTUHL
2007
15 years 1 months ago
Discovering Knowledge from Local Patterns with Global Constraints
It is well known that local patterns are at the core of a lot of knowledge which may be discovered from data. Nevertheless, use of local patterns is limited by their huge number an...
Bruno Crémilleux, Arnaud Soulet
KDD
1998
ACM
106views Data Mining» more  KDD 1998»
15 years 4 months ago
Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in Databases
This paper presents an algorithm for discovering conjunction rules with high reliability from data sets. The discovery of conjunction rules, each of which is a restricted form of ...
Einoshin Suzuki
134
Voted
SSD
1995
Springer
146views Database» more  SSD 1995»
15 years 4 months ago
Discovery of Spatial Association Rules in Geographic Information Databases
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
Krzysztof Koperski, Jiawei Han
92
Voted
HICSS
2006
IEEE
118views Biometrics» more  HICSS 2006»
15 years 6 months ago
Quantitative Measures for Evaluating Knowledge Network Node Clusters: Preliminary Results
One viewpoint of a knowledge network is a knowledge map that clusters similar knowledge sources into knowledge domains. What is needed is an automatic mapping tool that 1) takes t...
Mark Pendergast, Richard Orwig