Research on big data mining based on improved parallel collaborative filtering algorithm

Author:

Zhu Li,Li Heng,Feng Yuxuan

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference29 articles.

1. Cui, J.: Parallelizing k-means with hadoop/mahout for big data analytics (2015). http://bura.brunel.ac.uk/statistics/buraStats/buraNews.html

2. Mackey, L., Talwalkar, A., Jordan, M.I.: Distributed matrix completion and robust factorization. JMLR 16, 913–960 (2015)

3. Shuai, Z., Tao, L., Jiao, X., et al.: Parallel TNN spectral clustering algorithm in CPU-GPU heterogeneous computing environment. J. Comput. Res, Dev (2015)

4. Gu, Y.Z., Qin, K., Chen, Y.X., et al.: Parallel spatiotemporal spectral clustering with massive trajectory data. In: ISPRS—International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7, pp. 1173–1180 (2017)

5. Langone, R., Van Barel, M., Suykens, J.: Entropy-based incomplete Cholesky decomposition for a scalable spectral clustering algorithm: computational studies and sensitivity analysis. Entropy 18(5), 182 (2016)

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