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» Algorithms for discovering bucket orders from data
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GECCO
2003
Springer
14 years 1 months ago
Mining Comprehensible Clustering Rules with an Evolutionary Algorithm
In this paper, we present a novel evolutionary algorithm, called NOCEA, which is suitable for Data Mining (DM) clustering applications. NOCEA evolves individuals that consist of a ...
Ioannis A. Sarafis, Philip W. Trinder, Ali M. S. Z...
IJON
2006
85views more  IJON 2006»
13 years 8 months ago
From outliers to prototypes: Ordering data
We propose simple and fast methods based on nearest neighbors that order objects from high-dimensional data sets from typical points to untypical points. On the one hand, we show ...
Stefan Harmeling, Guido Dornhege, David M. J. Tax,...
APCCM
2006
13 years 9 months ago
Network data mining: methods and techniques for discovering deep linkage between attributes
Network Data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of `emergent' patterns and tre...
John Galloway, Simeon J. Simoff
CINQ
2004
Springer
133views Database» more  CINQ 2004»
14 years 5 days ago
Inductive Querying for Discovering Subgroups and Clusters
We introduce the problem of cluster-grouping and show that it integrates several important data mining tasks, i.e. subgroup discovery, mining correlated patterns and aspects from c...
Albrecht Zimmermann, Luc De Raedt
WABI
2004
Springer
100views Bioinformatics» more  WABI 2004»
14 years 1 months ago
Reversing Gene Erosion - Reconstructing Ancestral Bacterial Genomes from Gene-Content and Order Data
In the last few years, it has become routine to use gene-order data to reconstruct phylogenies, both in terms of edge distances (parsimonious sequences of operations that transform...
Joel V. Earnest-DeYoung, Emmanuelle Lerat, Bernard...