Pattern recognition algorithms for data mining - Info and Reading Options
scalability, knowledge discovery and soft granular computing
By Sankar K Pal
"Pattern recognition algorithms for data mining" was published by Chapman & Hall/CRC in 2004 - Boca Raton, Fla, it has 244 pages and the language of the book is English.
“Pattern recognition algorithms for data mining” Metadata:
- Title: ➤ Pattern recognition algorithms for data mining
- Author: Sankar K Pal
- Language: English
- Number of Pages: 244
- Publisher: Chapman & Hall/CRC
- Publish Date: 2004
- Publish Location: Boca Raton, Fla
“Pattern recognition algorithms for data mining” Subjects and Themes:
- Subjects: ➤ Computer algorithms - Granular computing - Pattern recognition systems - Data mining - Algorithms - Data Mining - Automated Pattern Recognition - Algorithmes - Exploration de données (Informatique) - Calcul granulaire - Reconnaissance des formes (Informatique) - COMPUTERS - Database Management
Edition Specifications:
- Pagination: xxix, 244 p. :
Edition Identifiers:
- The Open Library ID: OL17140222M - OL12062281W
- Online Computer Library Center (OCLC) ID: 309876501 - 54365540
- Library of Congress Control Number (LCCN): 2004043539
- ISBN-13: 9781584884576 - 9780203998076
- ISBN-10: 1584884576
- All ISBNs: 1584884576 - 9781584884576 - 9780203998076
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"Pattern recognition algorithms for data mining" Description:
Open Data:
INTRODUCTION IntroductionPattern 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 Similar
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