Advances in intelligent data analysis : 4th international conference, IDA 2001, Cascais, Portugal, September 1
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Author: IDA 2001 (2001 : Cascais, Portugal), Hoffmann, Frank, 1964-
Added by: sketch
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: 3540425810
Pages Count: 300
PPI Count: 300
PDF Count: 1
Total Size: 213.80 MB
PDF Size: 5.5 MB
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Edition: [Elektronische Ressource]
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Media Type: texts
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Advances in Intelligent Data Analysis: 4th International Conference, IDA 2001 Cascais, Portugal, September 13–15, 2001 Proceedings
Author: Frank Hoffmann, David J. Hand, Niall Adams, Douglas Fisher, Gabriela Guimaraes
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-42581-6
DOI: 10.1007/3-540-44816-0
Table of Contents:
Includes bibliographical references and index
Author: Frank Hoffmann, David J. Hand, Niall Adams, Douglas Fisher, Gabriela Guimaraes
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-42581-6
DOI: 10.1007/3-540-44816-0
Table of Contents:
- Feature Characterization in Scientific Datasets
- Relevance Feedback in the Bayesian Network Retrieval Model: An Approach Based on Term Instantiation
- Generating Fuzzy Summaries From Fuzzy Multidimensional Databases
- A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets
- Predicting Time-Varying Functions with Local Models
- Building Models of Ecological Dynamics Using HMM Based Temporal Data Clustering — A Preliminary Study
- Tagging with Small Training Corpora
- A Search Engine for Morphologically Complex Languages
- Errors Detection and Correction in Large Scale Data Collecting
- A New Framework to Assess Association Rules
- Communities of Interest
- An Evaluation of Grading Classifiers
- Finding Informative Rules in Interval Sequences
- Correlation-Based and Contextual Merit-Based Ensemble Feature Selection
- Nonmetric Multidimensional Scaling with Neural Networks
- Functional Trees for Regression
- Data Mining with Products of Trees
- S3Bagging: Fast Classifier Induction Method with Subsampling and Bagging
- RNA-Sequence-Structure Properties and Selenocysteine Insertion
- An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes
Includes bibliographical references and index
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