Table of content
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Data Mining(c) Opportunities and Challenges Authors: Wang J. Published year: 2003 Pages: 1/194 |
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- Back Cover
- Back Cover
- Table of Contents
- Data MiningOpportunities and Challenges
- Preface
- Chapter I: A Survey of Bayesian Data Mining
- SCHOOLS OF STATISTICS
- DATA MODEL
- LOCAL GRAPHICAL MODEL CHOICE
- GLOBAL GRAPHICAL MODEL CHOICE
- NON-CATEGORICAL VARIABLES
- CASE 1: PERSONALIZED MEDIA DISTRIBUTION
- CASE 2: SCHIZOPHRENIA RESEARCH - CAUSALITY IN COMPLEX SYSTEMS
- CONCLUSIONS
- ACKNOWLEDGMENTS
- REFERENCES
- Chapter II: Control of Inductive Bias in Supervised Learning Using Evolutionary ComputationA Wrapper-Based Approach
- BACKGROUND
- METHODOLOGIES
- RESULTS
- ACKNOWLEDGMENTS
- ENDNOTES
- REFERENCES
- Chapter III: Cooperative Learning and Virtual Reality-Based Visualization for Data Mining
- COOPERATIVE DATA MINING
- VISUAL DATA MINING
- THREE-DIMENSIONAL VISUALIZATION, VIRTUAL REALITY AND DATA MINING
- CONCLUSIONS
- REFERENCES
- Chapter IV: Feature Selection in Data Mining
- EVOLUTIONARY LOCAL SELECTION ALGORITHMS (ELSA)
- FEATURE SELECTION IN SUPERVISED LEARNING
- FEATURE SELECTION IN UNSUPERVISED LEARNING
- FEATURE SELECTION FOR ENSEMBLES
- CONCLUSIONS
- ENDNOTES
- REFERENCES
- Chapter V: Parallel and Distributed Data Mining through Parallel Skeletons and Distributed Objects
- PARALLEL AND DISTRIBUTED DATA MINING
- STRUCTURED PARALLEL PROGRAMMING
- STRUCTURED PARALLEL DATA MINING ALGORITHMS
- ADVANTAGES OF STRUCTURE PARALLELISM
- CONCLUSIONS
- REFERENCES
- Chapter VI: Data Mining Based on Rough Sets
- ROUGH SET THEORY
- VARIABLE PRECISION ROUGH SET MODEL (VPRSM)
- DATA MINING SYSTEM LERS
- APPLICATIONS
- CONCLUSIONS
- REFERENCES
- Chapter VII: The Impact of Missing Data on Data Mining
- DATA MINING WITH INCONSISTENT DATAMISSING DATA
- METHODS OF ADDRESSING MISSING DATA
- THE IMPACT OF MISSING DATA ON DATA-MINING ALGORITHMS
- FUTURE TRENDS
- CONCLUSIONS
- REFERENCES
- Chapter VIII: Mining Text Documents for Thematic Hierarchies Using Self-Organizing Maps
- RELATED WORK
- GENERATING CLUSTERS
- DEVELOPING THEMATIC HIERARCHIES FOR TEXT DOCUMENTS
- EXPERIMENTAL RESULTS
- FUTURE WORK
- CONCLUSIONS
- REFERENCES
- Chapter IX: The Pitfalls of Knowledge Discovery in Databases and Data Mining
- ORGANIZATIONAL ISSUES
- STATISTICAL ISSUES
- DATA ACCURACY AND STANDARDIZATION
- TECHNICAL ISSUES
- CONCLUSION
- REFERENCES
- Chapter X: Maximum Performance Efficiency Approaches for Estimating Best Practice Costs
- MOTIVATION
- BASIC COST MODELS AND ESTIMATION MODELS
- APPLICATION TO THE DATA
- ESTIMATION CRITERION QUALITY ISSUES
- LIMITATIONS
- EXTENSIONS TO OTHER BASIC COST MODELS
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Data Mining(c) Opportunities and Challenges Authors: Wang J. Published year: 2003 Pages: 1/194 |
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