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Pattern Recognition Algorithms for Data Mining
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Pattern Recognition Algorithms for Data Mining Paperback - 2019

by Sankar K. Pal; Pabitra Mitra


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Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. This volume presents various theories, methodologies, and algorithms, using both classical approaches and hybrid paradigms. The authors emphasize large datasets with overlapping, intractable, or nonlinear boundary classes, and datasets that demonstrate granular computing in soft frameworks.

Organized into eight chapters, the book begins with an introduction to PR, data mining, and knowledge discovery concepts. The authors analyze the tasks of multi-scale data condensation and dimensionality reduction, then explore the problem of learning with support vector machine (SVM). They conclude by highlighting the significance of granular computing for different mining tasks in a soft paradigm.

Details

  • Title Pattern Recognition Algorithms for Data Mining
  • Author Sankar K. Pal; Pabitra Mitra
  • Binding Paperback
  • Pages 280
  • Volumes 1
  • Language ENG
  • Publisher CRC Press
  • Date 2019-09-19
  • ISBN 9780367394240 / 0367394243
  • Weight 0.95 lbs (0.43 kg)
  • Dimensions 9.1 x 6.1 x 0.8 in (23.11 x 15.49 x 2.03 cm)
  • Dewey Decimal Code 006.312
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Pattern Recognition Algorithms for Data Mining
Stock Photo: Cover May Be Different

Pattern Recognition Algorithms for Data Mining

by Sankar K. Pal

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New. Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. This volume presents various theories, methodologies, and algorithms, using both classical approaches and hybrid paradigms. The authors emphasize large datasets with overlapping, intractable, or nonlinear boundary classes, and datasets that demonstrate granular computing in soft frameworks. Organized into eight chapters, the book begins with an introduction to PR, data mining, and knowledge discovery concepts. The authors analyze the tasks of multi-scale data condensation and dimensionality reduction, then explore the problem of learning with support vector machine (SVM). They conclude by highlighting the significance of granular computing for different mining tasks in a soft paradigm.
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£58.93
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Pattern Recognition Algorithms for Data Mining
Stock Photo: Cover May Be Different

Pattern Recognition Algorithms for Data Mining

by Pal, Sankar K.; Mitra, Pabitra

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CRC Press, 2019. Paperback. Good. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.Dust jacket quality is not guaranteed.
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Pattern Recognition Algorithms for Data Mining
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Pattern Recognition Algorithms for Data Mining

by Pal, Sankar K./ Mitra, Pabitra

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ISBN 10 / ISBN 13
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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining

by Sankar K. Pal

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Pattern Recognition Algorithms for Data Mining
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Pattern Recognition Algorithms for Data Mining

by Pal, Sankar K./ Mitra, Pabitra

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Paperback
ISBN 10 / ISBN 13
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Pattern Recognition Algorithms for Data Mining: Scalability, Knowledge Discovery and Soft...
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Pattern Recognition Algorithms for Data Mining: Scalability, Knowledge Discovery and Soft Granular Computing (Chapman & Hall/CRC Computer Science & Data Analysis)

by Pal, Sankar K.

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