Effective Selection of Machine Learning Algorithms for Big Data Analytics Using Apache Spark

Author:

Hafez Manar Mohamed,Shehab Mohamed Elemam,El Fakharany Essam,Abdel Ghfar Hegazy Abd El Ftah

Publisher

Springer International Publishing

Reference16 articles.

1. Raj, P., Raman, A., Nagaraj, D., Duggirala, S.: The high-performance technologies for big and fast data analytics. In: Raj, P., Raman, A., Nagaraj, D., Duggirala, S. (eds.) High-Performance Big-Data Analytics, pp. 25–66. Springer, Heidelberg (2015)

2. McAfee, A., et al.: Big data. The management revolution. Harvard Bus. Rev. 90(10), 61–67 (2012)

3. Han, J., Pei, J., Kamber, M.: Data Mining: Concepts and Techniques. Elsevier, Amsterdam (2011)

4. Chen, M., Mao, S., Liu, Y.: Big data: a survey. Mobile Netw. Appl. 19(2), 171–209 (2014)

5. Chen, Z., Liu, B.: Topic modeling using topics from many domains, lifelong learning and big data. In: Proceedings of the 31st International Conference on Machine Learning (ICML 2014) (2014)

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