144 search results - page 14 / 29 » Mining Comprehensible Clustering Rules with an Evolutionary ... |
DAGSTUHL
2003
13 years 9 months ago
2003
Data mining focuses on the development of methods and algorithms for such tasks as classification, clustering, rule induction, and discovery of associations. In the database fiel...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
VLDB
2008
ACM
14 years 7 months ago
2008
ACM
In this paper we present extended definitions of k-anonymity and use them to prove that a given data mining model does not violate the k-anonymity of the individuals represented in...
CAINE
2008
13 years 9 months ago
2008
Data mining became increasingly important in bioinformatics and biomedical area during last decade. Various data mining methods, such as association rule mining and clustering, ha...
TKDE
2012
11 years 10 months ago
2012
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...