Realtime Data Mining Self-learning Techniques For Recommendation Engines
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Realtime Data Mining Self-learning Techniques For Recommendation Engines
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. Furthermore, It Presents Promising Results Of Numerous Experiments On Real-world Data. The Area Of Realtime Data Mining Is Currently Developing At An Exceptionally Dynamic Pace, And Realtime Data Mining Systems Are The Counterpart Of Todays Classic Data Mining Systems.
- 品牌: Springer Nature B.V
- 类别: 计算机与互联网
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语言: English
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作者: Alexander Paprotny
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出版日期: 2013-12-16
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页数: 340
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出版社／标签: Springer Nature B.V
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格式: Hardcover
- Fruugo ID: 557207697-1125477140
- ISBN: 9783319013206
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