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» Numbers in Multi-relational Data Mining
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ICIAP
1999
ACM
15 years 4 months ago
SAR Image Processing Using Artificial Intelligence Planning
—In recent times, improvements in imaging technology have made available an incredible array of information in image format. While powerful and sophisticated image processing sof...
Forest Fisher, Steve A. Chien, Edisanter Lo, Ronal...
EKAW
2000
Springer
15 years 3 months ago
KIDS: An Iterative Algorithm to Organize Relational Knowledge
The goal of conceptual clustering is to build a set of embedded classes, which cluster objects based on their similarities. Knowledge organization aims at generating the set of mos...
Isabelle Bournaud, Mélanie Courtine, Jean-D...
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
IPL
2007
96views more  IPL 2007»
14 years 11 months ago
On constructing an optimal consensus clustering from multiple clusterings
Computing a suitable measure of consensus among several clusterings on the same data is an important problem that arises in several areas such as computational biology and data mi...
Piotr Berman, Bhaskar DasGupta, Ming-Yang Kao, Jie...
SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
15 years 9 months ago
Constraint-Based Subspace Clustering.
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
Élisa Fromont, Adriana Prado, Céline...