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» Data Mining for Genetics: A Genetic Algorithm Approach
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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 10 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
ICDM
2007
IEEE
105views Data Mining» more  ICDM 2007»
15 years 11 months ago
Fast Mining of Complex Spatial Co-location Patterns Using GLIMIT
Most algorithms for mining interesting spatial colocations integrate the co-location / clique generation task with the interesting pattern mining task, and are usually based on th...
Florian Verhein, Ghazi Al-Naymat
CIKM
2009
Springer
15 years 7 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
SAC
2006
ACM
15 years 10 months ago
Mining and analyzing the topological structure of protein-protein interaction networks
We report a comprehensive evaluation of the topological structure of protein-protein interaction (PPI) networks by mining and analyzing graphs constructed from the publicly availa...
Daniel Duanqing Wu, Xiaohua Hu
DAWAK
2004
Springer
15 years 10 months ago
Inductive Databases as Ranking
Abstract. Most of the research in data mining has been focused on developing novel algorithms for specific data mining tasks. However, finding the theoretical foundations of data...
Taneli Mielikäinen