Coverart for item
The Resource Advances in Intelligent Data Analysis : Third International Symposium, IDA-99 Amsterdam, The Netherlands, August 9–11, 1999 Proceedings, edited by David J. Hand, Joost N. Kok, Michael R. Berthold, (electronic resource)

Advances in Intelligent Data Analysis : Third International Symposium, IDA-99 Amsterdam, The Netherlands, August 9–11, 1999 Proceedings, edited by David J. Hand, Joost N. Kok, Michael R. Berthold, (electronic resource)

Label
Advances in Intelligent Data Analysis : Third International Symposium, IDA-99 Amsterdam, The Netherlands, August 9–11, 1999 Proceedings
Title
Advances in Intelligent Data Analysis
Title remainder
Third International Symposium, IDA-99 Amsterdam, The Netherlands, August 9–11, 1999 Proceedings
Statement of responsibility
edited by David J. Hand, Joost N. Kok, Michael R. Berthold
Creator
Contributor
Editor
Provider
Subject
Language
eng
Summary
This book constitutes the refereed proceedings of the Third International Symposium on Intelligent Data Analysis, IDA-99 held in Amsterdam, The Netherlands in August 1999. The 21 revised full papers and 23 posters presented in the book were carefully reviewed and selected from a total of more than 100 submissions. The papers address all current aspects of intelligent data analysis; they are organized in sections on learning, visualization, classification and clustering, integration, applications and media mining
Member of
http://library.link/vocab/creatorName
Hand, David J
Image bit depth
0
LC call number
QA75.5-76.95
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Kok, Joost N.
  • Berthold, Michael R.
  • SpringerLink
Series statement
Lecture Notes in Computer Science,
Series volume
1642
http://library.link/vocab/subjectName
  • Computer science
  • Information storage and retrieval systems
  • Artificial intelligence
  • Optical pattern recognition
  • Statistics
  • Management information systems
  • Computer Science
  • Information Storage and Retrieval
  • Artificial Intelligence (incl. Robotics)
  • Pattern Recognition
  • Business Information Systems
  • Statistics, general
Label
Advances in Intelligent Data Analysis : Third International Symposium, IDA-99 Amsterdam, The Netherlands, August 9–11, 1999 Proceedings, edited by David J. Hand, Joost N. Kok, Michael R. Berthold, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
XII, 544 p.
File format
multiple file formats
Form of item
electronic
Isbn
9783540484127
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/3-540-48412-4
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-540-48412-7
Label
Advances in Intelligent Data Analysis : Third International Symposium, IDA-99 Amsterdam, The Netherlands, August 9–11, 1999 Proceedings, edited by David J. Hand, Joost N. Kok, Michael R. Berthold, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
XII, 544 p.
File format
multiple file formats
Form of item
electronic
Isbn
9783540484127
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/3-540-48412-4
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-540-48412-7

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