Pattern Recognition Algorithms for Data Mining (1) (Chapman & Hall/CRC Computer Science & Data Analysis)
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- Synopsis
- This valuable text 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. Organized into eight chapters, the book begins by introducing PR, data mining, and knowledge discovery concepts. The authors proceed to analyze the tasks of multi-scale data condensation and dimensionality reduction. Then they explore the problem of learning with support vector machine (SVM), and conclude by highlighting the significance of granular computing for different mining tasks in a soft paradigm.
- Copyright:
- 2004
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 280 Pages
- ISBN-13:
- 9781135436391
- Related ISBNs:
- 9780367394240, 9781135436353, 9780429225277, 9781498797764, 9780203998076, 9781584884576
- Publisher:
- CRC Press
- Date of Addition:
- 01/26/25
- Copyrighted By:
- CRC Press LLC
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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