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Realtime Data Mining
- Self-Learning Techniques for Recommendation Engines
part of the Applied and Numerical Harmonic Analysis series
- Binding:
- Hardback
- Pages:
- 313
- Published:
- May 13, 2014
- Edition:
- 1201322014
- Dimensions:
- 158x243x24 mm.
- Weight:
- 682 g.
Delivery:
2-3 weeks
Expected delivery: December 12, 2024
Description of Realtime Data Mining
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.
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