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Principles of Data Mining - Undergraduate Topics in Computer Science Max Bramer 3rd ed. 2016 edition
Principles of Data Mining - Undergraduate Topics in Computer Science
Max Bramer
This book explains the principal techniques of data mining, for classification, association rule mining and clustering. Each topic is clearly explained and illustrated by detailed examples, with a focus on algorithms rather than mathematical formalism.
526 pages, 123 black & white illustrations, biography
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | November 9, 2016 |
| ISBN13 | 9781447173069 |
| Publishers | Springer London Ltd |
| Pages | 526 |
| Dimensions | 165 × 234 × 27 mm · 902 g |
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