Data mining and knowledge discovery. (©2004)
- Record Type:
- Book
- Title:
- Data mining and knowledge discovery. (©2004)
- Main Title:
- Data mining and knowledge discovery
- Further Information:
- Note: Edited by Hamparsum Bozdogan.
- Other Names:
- Bozdogan, H (Hamparsum), 1945-
- Contents:
- FOREWORD; EDITOR'S PREFACE; EDITOR'S BIO; LIST OF PRESENTERS; Contents; 1 The Role of Bayesian and Frequentist Multivariate Modeling in Statistical Data Mining; 2 Intelligent Statistical Data Mining with Information Complexity and Genetic Algorithms; 3 Econometric and Statistical Data Mining, Prediction and Policy-Making; 4 Data Mining Strategies for the Detection of Chemical Warfare Agents; 5 Disclosure Limitation Methods Based on Bounds for Large Contingency Tables With Applications to Disability; 6 Partial Membership Models with Application to Disability Survey Data. 7 Automated Scoring of Polygraph Data8 Missing Value Algorithms in Decision Trees; 9 Unsupervised Learning from Incomplete Data Using a Mixture Model Approach; 10 Improving the Performance of Radial Basis Function (RBF) Classification Using Information Criteria; 11 Use of Kernel Based Techniques for Sensor Validation in Nuclear Power Plants; 12 Data Mining and Traditional Regression; 13 An Extended Sliced Inverse Regression; 14 Using Genetic Programming to Improve the Group Method of Data Handling in Time Series Prediction. 15 Data Mining for Monitoring Plant Devices Using GMDH and Pattern Classification16 Statistical Modeling and Data Mining to Identify Consumer Preferences; 17 Testing for Structural Change Over Time of Brand Attribute Perceptions in Market Segments; 18 Kernel PCA for Feature Extraction with Information Complexity; 19 Global Principal Component Analysis for Dimensionality Reduction inFOREWORD; EDITOR'S PREFACE; EDITOR'S BIO; LIST OF PRESENTERS; Contents; 1 The Role of Bayesian and Frequentist Multivariate Modeling in Statistical Data Mining; 2 Intelligent Statistical Data Mining with Information Complexity and Genetic Algorithms; 3 Econometric and Statistical Data Mining, Prediction and Policy-Making; 4 Data Mining Strategies for the Detection of Chemical Warfare Agents; 5 Disclosure Limitation Methods Based on Bounds for Large Contingency Tables With Applications to Disability; 6 Partial Membership Models with Application to Disability Survey Data. 7 Automated Scoring of Polygraph Data8 Missing Value Algorithms in Decision Trees; 9 Unsupervised Learning from Incomplete Data Using a Mixture Model Approach; 10 Improving the Performance of Radial Basis Function (RBF) Classification Using Information Criteria; 11 Use of Kernel Based Techniques for Sensor Validation in Nuclear Power Plants; 12 Data Mining and Traditional Regression; 13 An Extended Sliced Inverse Regression; 14 Using Genetic Programming to Improve the Group Method of Data Handling in Time Series Prediction. 15 Data Mining for Monitoring Plant Devices Using GMDH and Pattern Classification16 Statistical Modeling and Data Mining to Identify Consumer Preferences; 17 Testing for Structural Change Over Time of Brand Attribute Perceptions in Market Segments; 18 Kernel PCA for Feature Extraction with Information Complexity; 19 Global Principal Component Analysis for Dimensionality Reduction in Distributed Data Mining; 20 A New Metric for Categorical Data; 21 Ordinal Logistic Modeling Using ICOMP as a Goodness-of-Fit Criterion. 22 Comparing Latent Class Factor Analysis withthe Traditional Approach in Data Mining23 On Cluster Effects in Mining Complex Econometric Data; 24 Neural Network-Based Data Mining Techniques for Steel Making; 25 Solving Data Clustering Problem as a String Search Problem; 26 Behavior-Based Recommender Systems as Value-Added Services for Scientific Libraries; 27 GTP (General Text Parser) Software for Text Mining; 28 Implication Intensity: From the Basic Statistical Definition to the Entropic Version; 29 Use of a Secondary Splitting Criterion in Classifiying Forest Construction. 30 A Method Integrating Self-Organizing Maps to Predict the Probability of Barrier Removal31 Cluster Analysis of Imputed Financial Data Using an Augmentation-Based Algorithm; 32 Data Mining in Federal Agencies; 33 STING: Evaluation of Scientific & Technological Innovation and Progress in Europe Through Patents; 34 The Semantic Conference Organizer; Index. … (more)
- Publisher Details:
- Boca Raton, FL : Chapman & Hall/CRC
- Publication Date:
- 2004
- Copyright Date:
- 2004
- Extent:
- 1 online resource (588 pages), illustrations
- Subjects:
- 006.3/072/7
Data mining -- Statistical methods
Computer algorithms -- Congresses
Knowledge acquisition (Expert systems) -- Congresses
Computer algorithms -- Congresses
Data mining -- Statistical methods
Knowledge acquisition (Expert systems) -- Congresses
Exploration de données (Informatique) -- Méthodes statistiques
Algorithmes
Acquisition des connaissances (Systèmes experts)
COMPUTERS -- Enterprise Applications -- Business Intelligence Tools
COMPUTERS -- Intelligence (AI) & Semantics
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 0203497155
9780203497159 - Notes:
- Note: Includes bibliographical references and index.
Note: Print version record. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.167412
- Ingest File:
- 01_015.xml