Large-Scale and Big Optimization Based on Hadoop

Author:

Cao Yi,Sun Dengfeng

Publisher

Springer International Publishing

Reference16 articles.

1. Yan, Y., Huang, L.: Large-scale image processing research cloud. In: Cloud Computing, pp. 88–93 (2014)

2. Kang, Y., Park, Y.B.: The performance evaluation of k-means by two MapReduce frameworks, Hadoop vs. Twister. In: International Conference on Information Networking (ICOIN), pp. 405–406 (2015)

3. Chu, C., Kim, S.K., Lin, Y.A., Yu, Y., Bradski, G., Ng, A.Y., Olukotun, K.: Map-reduce for machine learning on multicore. Adv. Neural Inf. Process. Syst. 19, 281–288 (2007)

4. Hall, K.B., Gilpin, S., Mann, G.: MapReduce/Bigtable for distributed optimization. In: NIPS LCCC Workshop (2010)

5. Boyd, S., Parikh, N., Chu, E., Peleato, B., Eckstein, J.: Distributed optimization and statistical learning via the alternating direction method of multipliers. In: Foundations and Trends® in Machine Learning, vol. 3, no. 1, pp. 1–122 (2011)

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