A new knowledge capitalization framework in big data context-Reference-Cited by-同舟云学术

A new knowledge capitalization framework in big data context

Published:2017-12-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services
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Author:

Hirchoua Badr¹,Ouhbi Brahim¹,Frikh Bouchra²

Affiliation:

1. Ismail University, Meknes, Morocco

2. Ben Abdellah University, Fes, Morocco

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3151759.3151780

Reference40 articles.

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2. Improving the predictability of distributed stream processors

3. JM Bernardo MJ Bayarri JO Berger AP Dawid D Heckerman AFM Smith and M West. 2003. Hierarchical Bayesian models for applications in information retrieval. In Bayesian Statistics 7: Proceedings of the Seventh Valencia International Meeting. Oxford University Press 25. JM Bernardo MJ Bayarri JO Berger AP Dawid D Heckerman AFM Smith and M West. 2003. Hierarchical Bayesian models for applications in information retrieval. In Bayesian Statistics 7: Proceedings of the Seventh Valencia International Meeting. Oxford University Press 25.

4. Probabilistic topic models

5. Latent dirichlet allocation;Blei David M;Journal of machine Learning research 3,2003

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