Pattern Recognition Algorithms for Data Mining is popular PDF and ePub book, written by Sankar K. Pal in 2004-05-27, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Pattern Recognition Algorithms for Data Mining can be Read Online from any device for your convenience.
Pattern Recognition Algorithms for Data Mining Book PDF Summary
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.
Detail Book of Pattern Recognition Algorithms for Data Mining PDF
- Author : Sankar K. Pal
- Release : 27 May 2004
- Publisher : CRC Press
- ISBN : 9781135436407
- Genre : Computers
- Total Page : 275 pages
- Language : English
- PDF File Size : 12,9 Mb
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