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Advances in intelligent data analysis : third international symposium, IDA-99, Amsterdam, The Netherlands, August 9-11, 1999 : proceedings

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Advances in intelligent data analysis : third international symposium, IDA 99, Amsterdam, The Netherlands, Aug

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Author: IDA-99 (1999 : Amsterdam, Netherlands), Hand, D. J, Kok, Joost N, Berthold, M. (Michael)

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Added Date: 2015-12-30

Language: eng

Subjects: Mathematical statistics, Mathematical statistics, Expert systems (Computer science)

Publishers: Berlin ; New York : Springer

Collections: journals contributions, journals

ISBN Number: 3540663320

Pages Count: 300

PPI Count: 300

PDF Count: 1

Total Size: 260.30 MB

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Advances in Intelligent Data Analysis: Third International Symposium, IDA-99 Amsterdam, The Netherlands, August 9–11, 1999 Proceedings
Author: David J. Hand, Joost N. Kok, Michael R. Berthold
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-66332-4
DOI: 10.1007/3-540-48412-4

Table of Contents:

  • From Theoretical Learnability to Statistical Measures of the Learnable
  • ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis
  • A “Top-Down and Prune” Induction Scheme for Constrained Decision Committees
  • Mining Clusters with Association Rules
  • Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series
  • The Biases of Decision Tree Pruning Strategies
  • Feature Selection as Retrospective Pruning in Hierarchical Clustering
  • Discriminative Power of Input Features in a Fuzzy Model
  • Learning Elements of Representations for Redescribing Robot Experiences
  • “Seeing“ Objects in Spatial Datasets
  • Intelligent Monitoring Method Using Time Varying Binomial Distribution Models for Pseudo-Periodic Communication Traffic
  • Monitoring Human Information Processing via Intelligent Data Analysis of EEG Recordings
  • Knowledge-Based Visualization to Support Spatial Data Mining
  • Probabilistic Topic Maps: Navigating through Large Text Collections
  • 3D Grand Tour for Multidimensional Data and Clusters
  • A Decision Tree Algorithm for Ordinal Classification
  • Discovering Dynamics Using Bayesian Clustering
  • Integrating Declarative Knowledge in Hierarchical Clustering Tasks
  • Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization
  • Supervised Classification Problems: How to Be Both Judge and Jury

Includes bibliographical references and index

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