Research on the Development of Data Scientific Analysis Tools in the Big Data Age

DOI

10.2991/essaeme-17.2017.410How to use a DOI?

Keywords

Data science, R language, big data

Abstract

According to the features of big data era, this paper analyzes the main challenges that massive data bring to the analysis tool of data science. The paper introduces the big data analysis tool in response to challenges. Then, the paper carries on the comparative analysis of R language, Rapid Miner and Mahout 3 popular analysis tools of big data in data science, which finds that R language and Rapid Miner have fully functions and the Mahout has more outstanding analysis capability of big data. Finally, the paper points out the development trend of data science analysis tool.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuxuan Xu
PY  - 2017/07
DA  - 2017/07
TI  - Research on the Development of Data Scientific Analysis Tools in the Big Data Age
BT  - Proceedings of the 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-17.2017.410
DO  - 10.2991/essaeme-17.2017.410
ID  - Xu2017/07
ER  -