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GECCO
2003
Springer
14 years 3 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...
EVOW
2006
Springer
14 years 1 months ago
Mining Structural Databases: An Evolutionary Multi-Objetive Conceptual Clustering Methodology
Abstract. The increased availability of biological databases containing representations of complex objects permits access to vast amounts of data. In spite of the recent renewed in...
Rocío Romero-Záliz, Cristina Rubio-E...
ACSW
2004
13 years 11 months ago
Learning Dynamics of Pesticide Abuse through Data Mining
Recent studies by agriculture researchers in Pakistan have shown that attempts of crop yield maximization through pro-pesticide state policies have led to a dangerously high pesti...
Ahsan Abdullah, Stephen Brobst, Ijaz Pervaiz
ICASSP
2009
IEEE
13 years 7 months ago
Tree configuration games for distributed stream mining systems
We consider the problem of configuring classifier trees in distributed stream mining system. The configuration involves selecting appropriate false-alarm detection tradeoffs for e...
Hyunggon Park, Deepak S. Turaga, Olivier Verscheur...
ICCV
2009
IEEE
13 years 7 months ago
Fast realistic multi-action recognition using mined dense spatio-temporal features
Within the field of action recognition, features and descriptors are often engineered to be sparse and invariant to transformation. While sparsity makes the problem tractable, it ...
Andrew Gilbert, John Illingworth, Richard Bowden