Advances in Intelligent Data Analysis: Third International Symposium, IDA-99 Amsterdam, The Netherlands, August 9-11, 1999 Proceedings
David J. Hand, Joost N. Kok, Michael R. Berthold
Springer, Aug 27, 1999 - Mathematical statistics - 538 pages
This book constitutes the refereed proceedings of the Third International Symposium on Intelligent Data Analysis, IDA-99 held in Amsterdam, The Netherlands in August 1999. The 21 revised full papers and 23 posters presented in the book were carefully reviewed and selected from a total of more than 100 submissions. The papers address all current aspects of intelligent data analysis; they are organized in sections on learning, visualization, classification and clustering, integration, applications and media mining.
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Table of Contents
A TopDown and Prune Induction Scheme for Constrained Decision
Evolutionary Computation to Search for Strongly Correlated
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Abstract accuracy applied approach Artificial Intelligence association rules attributes average Bayesian Berlin Heidelberg 1999 classification concept conceptual graphs correlation corresponding D.J. Hand data analysis data clusters data mining data set database decision tree decision tree learning defined described detection distribution domain domain theory dynamics estimation evaluation example experiments feature selection function fuzzy clustering fuzzy set Gini coefficient headnotes Hidden Markov Models hierarchy induction inference input instance iterations J.N. Kok kd-tree Key Numbers knowledge learning algorithm linear M.R. Berthold Eds Machine Learning marginal likelihood measure method neural network node objects observed obtained optimization output parameters partition patterns performance prediction PreT probability problem procedure projection proposed prototypes pruning query represent representation Section segment sensor sequence similar space spatial statistical strategy structure subset Table target techniques threshold training data values variables vectors visual