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Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics - Advanced Information and Knowledge Processing 2nd ed. 2014 edition
Dan A. Simovici
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Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics - Advanced Information and Knowledge Processing 2nd ed. 2014 edition
Dan A. Simovici
Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc.
842 pages, 93 black & white illustrations, 8 black & white tables, biography
| Media | Bøker Innbunden bok (Bok med hard rygg og stivt omslag) |
| Utgitt | 9. april 2014 |
| ISBN13 | 9781447164067 |
| Utgivere | Springer London Ltd |
| Antall sider | 831 |
| Mål | 239 × 164 × 49 mm · 1,25 kg |
| Språk | Engelsk |
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