Pattern classification with genetic algorithms
Pattern Recognition Letters - Special issue on genetic algorithms
Feature Selection: Evaluation, Application, and Small Sample Performance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Turbo-charging vertical mining of large databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Proceedings of the 2002 ACM symposium on Applied computing
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Further Research on Feature Selection and Classification Using Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
k-nearest Neighbor Classification on Spatial Data Streams Using P-trees
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Association Rule Mining on Remotely Sensed Images Using P-trees
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
P-tree classification of yeast gene deletion data
ACM SIGKDD Explorations Newsletter
Fast vertical mining using diffsets
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
An optimized approach for KNN text categorization using P-trees
Proceedings of the 2004 ACM symposium on Applied computing
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
SMART-TV: a fast and scalable nearest neighbor based classifier for data mining
Proceedings of the 2006 ACM symposium on Applied computing
Dimensionality reduction using genetic algorithms
IEEE Transactions on Evolutionary Computation
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In this paper, we describe a reliable high performance classification system that includes a Nearest Neighbor Vote based classification and a Local Decision Boundary based classification combined with an evolutionary algorithm for parameter optimization and a vertical data structure (Predicate Tree or P-tree1 for processing efficiency.