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4th International Conference, IDA 2001, Cascais, Portugal, September 13-15,
Hoffmann, F. Hand, D. J. Adams, N.
Frank Hoffmann, David J. Hand, Niall M. Adams, Douglas Fisher, Gabriela Guimaraes
ISBN: 9783540425816
Format: Paperback
Publisher:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
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This volume constitutes the refereed proceedings of the 4th International Conference on Intelligent Data Analysis, IDA 2001. Areas covered include: statistics; artificial intelligence; neural networks; machine learning; data mining; and interactive dynamic data visualization.
This book constitutes the refereed proceedings of the 4th International Conference on Intelligent Data Analysis, IDA 2001, held in Cascais, Portugal, in September 2001. The 37 revised full papers presented were carefully reviewed and selected from a total of almost 150 submissions. All current aspects of this interdisciplinary field are addressed; the areas covered include statistics, artificial intelligence, neural networks, machine learning, data mining, and interactive dynamic data visualization.
| ISBN | 3540425810 | | Published in | Berlin | | ISBN13 | 9783540425816 (What's this?) | | Conference location | Cascais | | Publisher | Springer-Verlag Berlin and Heidelberg GmbH & Co. KG | | Conference name | International Conference, IDA 2001 | | Imprint | Springer-Verlag Berlin and Heidelberg GmbH & Co. K | | Conference year | 2001 | | Format | Paperback | | Series editor | Goos, G., Hartmanis, J., Leeuwen, J. van | | Publication date | 05 Sep 2001 | | Series ISSN | 2189 | | Library of Congress | 2001053289 | | Series title | Lecture Notes in Computer Science | | DEWEY | 006.3 | | Height (mm) | 234 | | DEWEY edition | DC21 | | Width (mm) | 156 | | Pages | 404 | | Spine width (mm) | 21 | | Volumes | 1 | | Academic level | Undergraduate, Postgraduate, Professional / Scholarly | | Weight (grammes) | 565 | |
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| | | Feature Characterization in Scientific Datasets by Elizabeth Bradley and Nancy Collins and W. Philip Kegelmeyer | | 1 | | | | Relevance Feedback in the Bayesian Network Retrieval Model: An Approach Based on Term Instantiation by Luis M. de Campos and Juan M. Fernandez-Luna and Juan F. Huete | | 13 | | | | Generating Fuzzy Summaries from Fuzzy Multidimensional Databases by Anne Laurent | | 24 | | | | A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets by Andrew Estabrooks and Nathalie Japkowicz | | 34 | | | | Predicting Time-Varying Functions with Local Models by Achim Lewandowski and Peter Protzel | | 44 | | | | Building Models of Ecological Dynamics Using HMM Based Temporal Data Clustering - A Preliminary Study by Cen Li and Gautam Biswas and Mike Dale | | 53 | | | | Tagging with Small Training Corpora by Nuno C. Marques and Gabriel Pereira Lopes | | 63 | | | | A Search Engine for Morphologically Complex Languages by Udo Hahn and Martin Honeck and Stefan Schulz | | 73 | | | | Errors Detection and Correction in Large Scale Data Collecting by Renato Bruns and Antonio Sassano | | 84 | | | | A New Framework to Assess Association Rules by Fernando Berzal and Ignacio Blanco and Daniel Sanchez | | 95 | | | | Communities of Interest by Corinna Cortes and Daryl Pregibon and Chris Colinsky | | 105 | | | | An Evaluation of Grading Classifiers by Alexander K. Seewald and Johannes Furnkranz | | 115 | | | | Finding Informative Rules in Interval Sequences by Frank Hoppner and Frank Klawonn | | 125 | | | | Correlation-Based and Contextual Merit-Based Ensemble Feature Selection by Seppo Puuronen and Alexy Tsymbal and Iryna Skrypnyk | | 135 | | | | Nonmetric Multidimensional Scaling with Neural Networks by Michiel C. van Wezel and Walter A. Kosters and Peter van der Putten | | 145 | | | | Functional Trees for Regression by Joao Gama | | 156 | | | | Data Mining with Products of Trees by Jose Tome A. S. Ferreira and David G. T. Denison and David J. Hand | | 167 | | | | S[superscript 3] Bagging: Fast Classifier Induction Method with Subsampling and Bagging by Masahiro Terabe and Takashi Washio and Hiroshi Motoda | | 177 | | | More... | | |
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