Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Approximate matching of polygonal shapes (extended abstract)
SCG '91 Proceedings of the seventh annual symposium on Computational geometry
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
A practical approach to feature selection
ML92 Proceedings of the ninth international workshop on Machine learning
C4.5: programs for machine learning
C4.5: programs for machine learning
Case-based reasoning
A geometric approach to feature selection
ECML-94 Proceedings of the European conference on machine learning on Machine Learning
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
A statistical perspective on knowledge discovery in databases
Advances in knowledge discovery and data mining
Inductive logic programming and knowledge discovery in databases
Advances in knowledge discovery and data mining
Two self-adaptive crossover operators for genetic programming
Advances in genetic programming
Explicitly defined introns and destructive crossover in genetic programming
Advances in genetic programming
Feature selection in unsupervised learning via evolutionary search
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
Feature Selection via Discretization
IEEE Transactions on Knowledge and Data Engineering
Learning Control Strategies for Chemical Processes: A Distributed Approach
IEEE Expert: Intelligent Systems and Their Applications
Feature Subset Selection Using a Genetic Algorithm
IEEE Intelligent Systems
Further Research on Feature Selection and Classification Using Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
EP '97 Proceedings of the 6th International Conference on Evolutionary Programming VI
Feature Selection Via Mathematical Programming
INFORMS Journal on Computing
Feature Selection in Web Applications By ROC Inflections and Powerset Pruning
SAINT '01 Proceedings of the 2001 Symposium on Applications and the Internet (SAINT 2001)
How to shift bias: Lessons from the baldwin effect
Evolutionary Computation
Graphical Models in Applied Multivariate Statistics
Graphical Models in Applied Multivariate Statistics
Hybrid learning using genetic algorithms and decision trees for pattern classification
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
A genetic algorithm-based approach to flexible flow-line scheduling with variable lot sizes
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Efficient annealing -inspired genetic algorithm for information retrieval from web-document
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Genetic learning of fuzzy rules based on low quality data
Fuzzy Sets and Systems
The Hausdorff fuzzy quasi-metric
Fuzzy Sets and Systems
A general method of mining Chinese web documents based on GA&SA and position-factors
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Hyperspaces of a weightable quasi-metric space: Application to models in the theory of computation
Mathematical and Computer Modelling: An International Journal
Information Technology and Management
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The development of powerful computers and faster input/output devices coupled with the need for storing and analyzing data have resulted in massive databases (of the order of terabytes). Such volumes of data clearly overwhelm more traditional data analysis methods. A new generation of tools and techniques are needed for finding interesting patterns in the data and discovering useful knowledge. In this paper we present the design of more effective and efficient genetic algorithm based data mining techniques that use the concepts of self-adaptive feature selection together with a wrapper feature selection method based on Hausdorff distance measure.