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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining (Hardcover)

Sankar K. Pal, Pabitra Mitra (지은이)
Chapman & Hall
320,620원

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Pattern Recognition Algorithms for Data Mining
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책 정보

· 제목 : Pattern Recognition Algorithms for Data Mining (Hardcover) 
· 분류 : 외국도서 > 컴퓨터 > 데이터베이스 관리 > 데이터 마이닝
· ISBN : 9781584884576
· 쪽수 : 280쪽
· 출판일 : 2004-05-27

목차

INTRODUCTION
Introduction
Pattern Recognition in Brief
Knowledge Discovery in Databases (KDD)
Data Mining
Different Perspectives of Data Mining
Scaling Pattern Recognition Algorithms to Large Data Sets
Significance of Soft Computing in KDD
Scope of the Book

MULTISCALE DATA CONDENSATION
Introduction
Data Condensation Algorithms
Multiscale Representation of Data
Nearest Neighbor Density Estimate
Multiscale Data Condensation Algorithm
Experimental Results and Comparisons
Summary

UNSUPERVISED FEATURE SELECTION
Introduction
Feature Extraction
Feature Selection
Feature Selection Using Feature Similarity (FSFS)
Feature Evaluation Indices
Experimental Results and Comparisons
Summary

ACTIVE LEARNING USING SUPPORT VECTOR MACHINE
Introduction
Support Vector Machine
Incremental Support Vector Learning with Multiple Points
Statistical Query Model of Learning
Learning Support Vectors with Statistical Queries
Experimental Results and Comparison
Summary

ROUGH-FUZZY CASE GENERATION
Introduction
Soft Granular Computing
Rough Sets
Linguistic Representation of Patterns and Fuzzy Granulation
Rough-fuzzy Case Generation Methodology
Experimental Results and Comparison
Summary

ROUGH-FUZZY CLUSTERING
Introduction
Clustering Methodologies
Algorithms for Clustering Large Data Sets
CEMMiSTRI: Clustering using EM, Minimal Spanning Tree
and Rough-fuzzy Initialization
Experimental Results and Comparison
Multispectral Image Segmentation
Summary

ROUGH SELF-ORGANIZING MAP
Introduction
Self-Organizing Maps (SOM)
Incorporation of Rough Sets in SOM (RSOM)
Rule Generation and Evaluation
Experimental Results and Comparison
Summary

CLASSIFICATION, RULE GENERATION AND EVALUATION USING MODULAR ROUGH-FUZZY MLP
Introduction
Ensemble Classifiers
Association Rules
Classification Rules
Rough-Fuzzy MLP
Modular Evolution of Rough-Fuzzy MLP
Rule Extraction and Quantitative Evaluation
Experimental Results and Comparison
Summary




APPENDIX A: ROLE OF SOFT-COMPUTING TOOLS IN KDD
Fuzzy Sets
Neural Networks
Neuro-Fuzzy Computing
Genetic Algorithms
Rough Sets
Other Hybridizations

APPENDIX B DATA SETS USED IN EXPERIMENTS

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