Machine Learning on Big Data: A Developmental Approach on Societal Applications-Reference-Cited by-同舟云学术

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Machine Learning on Big Data: A Developmental Approach on Societal Applications

Published:2018-06-17 Issue: Volume: Page:143-165
ISSN:2197-6503
Container-title:Studies in Big Data
language:
Short-container-title:

Author:

Son Le Hoang,Tripathy Hrudaya Kumar,Acharya Biswa Ranjan,Kumar Raghvendra,Chatterjee Jyotir Moy

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-0550-4_7

Reference39 articles.

1. Mohammad, N.R., Amir, E., Junhui, Z.: Machine learning with big data an efficient electricity generation forecasting system. Big Data Res. 5, 9–15 (2016)

2. Hsieh, H.N., Chen, J.F., Do, Q.H.: A creative research based on DANP and TRIZ for an innovative cover shape design of machine tools. J. Eng. Des. 28(2), 77–99 (2017)

3. Baldominos, A. et al.: A scalable machine learning online service for big data real-time analysis. In: IEEE Symposium on Computational Intelligence in Big Data (CIBD), pp. 1–8 (2014)

4. Liu, B., et al.: Scalable sentiment classification for big data analysis using Naive Bayes Classifier. In: IEEE International Conference on Big Data (2013)

5. Vaniš, M., Krzysztof, U.: Employing Bayesian networks and conditional probability functions for determining dependences in road traffic accidents data. In: Smart City Symposium Prague (SCSP) (2017)

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