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» ARMOR: Association Rule Mining based on ORacle
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CG
2007
Springer
13 years 7 months ago
A 2D-3D visualization support for human-centered rule mining
On account of the enormous amounts of rules that can be produced by data mining algorithms, knowledge post-processing is a difficult stage in an association rule discovery process....
Julien Blanchard, Bruno Pinaud, Pascale Kuntz, Fab...
BMCBI
2008
226views more  BMCBI 2008»
13 years 7 months ago
ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining
Background: New systems biology studies require researchers to understand how interplay among myriads of biomolecular entities is orchestrated in order to achieve high-level cellu...
Tianxiao Huan, Andrey Y. Sivachenko, Scott H. Harr...
JIIS
2000
111views more  JIIS 2000»
13 years 7 months ago
Multidimensional Index Structures in Relational Databases
Abstract. Efficient query processing is one of the basic needs for data mining algorithms. Clustering algorithms, association rule mining algorithms and OLAP tools all rely on effi...
Christian Böhm, Stefan Berchtold, Hans-Peter ...
EUSFLAT
2007
103views Fuzzy Logic» more  EUSFLAT 2007»
13 years 8 months ago
Measuring Variation Strength in Gradual Dependencies
In this paper we extend a previous definition of gradual dependence as a special kind of (crisp) association rule, in order to measure not only the existence of a tendency, but i...
Carlos Molina, José-María Serrano, D...
PKDD
2000
Springer
159views Data Mining» more  PKDD 2000»
13 years 11 months ago
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
Abstract. This paper proposes a novel approach named AGM to eciently mine the association rules among the frequently appearing substructures in a given graph data set. A graph tran...
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda