## Advances in Intelligent Data Analysis V: 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003, ProceedingsThis book constitutes the refereed proceedings of the 5th International Conference on Intelligent Data Analysis, IDA 2003, held in Berlin, Germany in August 2003. The 56 revised papers presented were carefully reviewed and selected from 180 submissions. The papers are organized in topical sections on machine learning, probability and topology, classification and pattern recognition, clustering, applications, modeling, and data processing. |

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### Contents

Machine Learning | 1 |

Learning to Answer Emails | 25 |

Using Domain Specific Knowledge for Automated Modeling | 48 |

Copyright | |

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accuracy applied approach attributes Bayesian Bayesian Networks Berlin Heidelberg 2003 Berthold binary classification clustering algorithm coherent conditional combination complexity computed conditional probability constraints correlation cross-validation data clustering Data Mining data set database decision trees defined denotes distance distribution domain error estimate evaluation example experiments fc-Means Figure fragment function fuzzy clustering fuzzy sets genes given graph hierarchical IEEE IFGP input instance isopoints iteration learning algorithm linear LNCS Machine Learning matrix measure membership degrees method microarray missing values naive Bayes neural networks ngrams node noise obtained optimal outlier paper parameters partition patterns performance pixels prediction probabilistic problem proposed protein pruning regression rule sample Section segmentation selection self-organizing maps sequence similarity solution space Springer-Verlag Berlin Heidelberg statistical structure subset Support Vector Support Vector Machines Table techniques threshold time-series tion training data training set unsupervised learning variables weight