Big Data Research ›› 2015, Vol. 1 ›› Issue (1): 35-54.doi: 10.11959/j.issn.2096-0271.2015.01.004

• Topic:Key technologies of big data • Previous Articles     Next Articles

Research Progress on Big Data Machine Learning System

Yihua Huang1,2   

  1. 1 National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China
    2 PASA Big Data Laboratory, Nanjing University, Nanjing 210023, China
  • Revised:2015-05-11 Online:2015-05-20 Published:2020-09-28
  • Supported by:
    Jiangsu Province Science and Technology Support Program(BE2014131)

Abstract:

To achieve efficient big data machine learning, we need to construct a unified big data machine learning system to support both machine learning algorithm design and big data processing. Designing an efficient, scalable and easy-to-use big data machine learning system still faces a number of challenges. Recently, the upsurge of big data technology has promoted rapid development of big data machine learning, making big data machine learning system to become a research hotspot. The basic concepts, research issues, technical characteristics, categories, and typical systems for big data machine learning system, were reviewed. Then a unified and cross-platform big data machine learning system, Octopus, was presented.

Key words: big data, machine learning, distributed and parallel computing, big data processing platform

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