Pattern Recognition Algorithms for Data Mining - Sankar K. Pal,Pabitra Mitra
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Piegāde 17-23 darba dienu laikā
30 dienu atgriešanas politika
Pattern Recognition Algorithms for Data Mining addresses 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 ... Pilns apraksts
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Aprašymas
Pattern Recognition Algorithms for Data Mining addresses 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.
Vairāk informācijas
| Autors | Sankar K. Pal, Pabitra Mitra |
|---|---|
| Izdevējs | CRC Press |
| Izlaides gads | 2004 |
| Vāka tips | Cietais vāks |
| EAN | 9781584884576 |