Challenges to Engineering Management in the Big Data Era

2015, Volume 2, Issue 3

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Abstract

Keywords

Frontiers of Engineering Management >> 2015, Volume 2, Issue 3 doi: 10.15302/J-FEM-2015042

Challenges to Engineering Management in the Big Data Era

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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

Accepted： 2016-02-22 Available online：2016-03-21

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

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