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121227s1999 gw | s |||| 0|eng d |
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|a 9783540484127
|9 978-3-540-48412-7
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|a 10.1007/3-540-48412-4
|2 doi
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|a QA75.5-76.95
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|a UNH
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|a COM030000
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|a UNH
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|a 025.04
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|a Advances in Intelligent Data Analysis
|h [electronic resource] :
|b Third International Symposium, IDA-99 Amsterdam, The Netherlands, August 9-11, 1999 Proceedings /
|c edited by David J Hand, Joost N. Kok, Michael R. Berthold.
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|a 1st ed. 1999.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 1999.
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|a XII, 544 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 1642
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|a Learning -- 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 -- Visualization -- 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 -- Classification and Clustering -- 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 -- Temporal Pattern Generation Using Hidden Markov Model Based Unsupervised Classification -- Exploiting Similarity for Supporting Data Analysis and Problem Solving -- Multiple Prototype Model for Fuzzy Clustering -- A Comparison of Genetic Programming Variants for Data Classification -- Fuzzy Clustering Based on Modified Distance Measures -- Building Classes in Object-Based Languages by Automatic Clustering -- Integration -- Adjusted Estimation for the Combination of Classifiers -- Data-Driven Theory Refinement Using KBDistAl -- Reasoning about Input-Output Modeling of Dynamical Systems -- Undoing Statistical Advice -- A Method for Temporal Knowledge Conversion -- Applications -- Intrusion Detection through Behavioral Data -- Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry -- Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees -- Pump Failure Detection Using Support Vector Data Descriptions -- Data Mining for the Detection of Turning Points in Financial Time Series -- Computer-Assisted Classification of Legal Abstracts -- Sequential Control Logic Inferring Method from Observed Plant I/O Data -- Evaluating an Eye Screening Test -- Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure -- Media Mining -- Exploiting Structural Information for Text Classification on the WWW -- Multi-agent Web Information Retrieval: Neural Network Based Approach -- Adaptive Information Filtering Algorithms -- A Conceptual Graph Approach for Video Data Representation and Retrieval.
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|a Information storage and retrieval.
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|a Database management.
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|a Optical data processing.
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|a Artificial intelligence.
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|a Pattern recognition.
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|a Information technology.
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|a Business-Data processing.
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|a Information Storage and Retrieval.
|0 http://scigraph.springernature.com/things/product-market-codes/I18032
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|a Database Management.
|0 http://scigraph.springernature.com/things/product-market-codes/I18024
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|a Image Processing and Computer Vision.
|0 http://scigraph.springernature.com/things/product-market-codes/I22021
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|a Artificial Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/I21000
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|a Pattern Recognition.
|0 http://scigraph.springernature.com/things/product-market-codes/I2203X
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|a IT in Business.
|0 http://scigraph.springernature.com/things/product-market-codes/522000
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|a Hand, David J.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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1 |
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|a Kok, Joost N.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Berthold, Michael R.
|e editor.
|0 (orcid)0000-0001-9095-3283
|1 https://orcid.org/0000-0001-9095-3283
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783662173565
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776 |
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|i Printed edition:
|z 9783540663324
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830 |
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 1642
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856 |
4 |
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|u https://doi.org/10.1007/3-540-48412-4
|z Full Text via HEAL-Link
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|a Computer Science (Springer-11645)
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