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Realtime Data Mining: Self-Learning Techniques for Recommendation Engines - Applied and Numerical Harmonic Analysis Alexander Paprotny 1st ed. 2013. Corr. 2nd printing 2014 edition
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元 715
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预计送达时间 年7月20日 - 年7月30日
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其他版本:
Realtime Data Mining: Self-Learning Techniques for Recommendation Engines - Applied and Numerical Harmonic Analysis
Alexander Paprotny
????Describing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for Recommendation Engines features a sound mathematical framework unifying approaches based on control and learning theories, tensor factorization, and hierarchical methods.
297 pages, 88 black & white illustrations, 12 colour illustrations, 28 black & white tables, biograp
| 介质类型 | 图书 Hardcover Book (精装硬皮书) |
| 已发行 | 2013年12月16日 |
| ISBN13 | 9783319013206 |
| 出版商 | Birkhauser Verlag AG |
| 页数 | 313 |
| 商品尺寸 | 158 × 243 × 24 mm · 682 g |
| 语言 | 法语 |