Sankar K. Pal
Pattern Recognition Algorithms for Data Mining - Chapman & Hall / CRC Computer Science & Data Analysis Sankar K. Pal 第1 版

Name: Pattern Recognition Algorithms for Data Mining - Chapman & Hall / CRC Computer Science & Data Analysis
Price: 15875 JPY
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Author: Sankar K. Pal

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Hardcover Book

第1 版

(2004) ¥ 32.626

Pattern Recognition Algorithms for Data Mining - Chapman & Hall / CRC Computer Science & Data Analysis

Sankar K. Pal

第1 版

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.

280 pages

メディア	書籍 Paperback Book (ソフトカバーで背表紙を接着した本)
リリース済み	2019年9月19日
ISBN13	9780367394240
出版社	Taylor & Francis Ltd
ページ数	280
寸法	150 × 220 × 10 mm · 385 g
言語	英語