Challenges to Engineering Management in the Big Data Era

doi:10.15302/J-FEM-2015042

Front. Eng

2015, Vol. 2

Issue (3) : 293-303 https://doi.org/10.15302/J-FEM-2015042

Engineering Management Reports

Challenges to Engineering Management in the Big Data Era

Yong Shi(

)

Research Center of Fictitious Economy & Data Science, University of the Chinese Academy of Sciences and Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, China

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Abstract

This paper presents a review of the challenges to engineering management in the Big Data Era as well as the Big Data applications. First, it outlines the definitions of big data, data science and intelligent knowledge and the history of big data. Second, the paper reviews the academic activities about big data in China. Then, it elaborates a number of challenging big data problems, including transforming semi-structured and non-structured data into “structured format” and explores the relationship of data heterogeneity, knowledge heterogeneity and decision heterogeneity. Furthermore, the paper reports various real-life applications of big data, such as financial and petroleum engineering and internet business.

Keywords big data data science intelligent knowledge engineering management real-life applications

Corresponding Author(s): Yong Shi

Online First Date: 22 February 2016 Issue Date: 21 March 2016

Cite this article:

Yong Shi. Challenges to Engineering Management in the Big Data Era[J]. Front. Eng, 2015, 2(3): 293-303.

URL:

https://academic.hep.com.cn/fem/EN/10.15302/J-FEM-2015042
https://academic.hep.com.cn/fem/EN/Y2015/V2/I3/293

Fig.1 Research functions at the Key Laboratory of Big Data Mining and Knowledge Management, CAS.

Fig.2 Models comparison in China’s National Credit Scoring System (China Score).

Fig.3 China score vs. US score vs. Australia score.

Fig.4 Traditional approach vs. data mining approach in petroleum exploration engineering.

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