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Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics - Advanced Information and Knowledge Processing Dan A. Simovici Softcover reprint of the original 2nd ed. 2014 edition
Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics - Advanced Information and Knowledge Processing
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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2016. gada 3. septembris |
| ISBN13 | 9781447171348 |
| Izdevēji | Springer London Ltd |
| Lapas | 831 |
| Izmēri | 155 × 235 × 42 mm · 1,16 kg |
| Valoda | Angļu |
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