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Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Frontiers of Engineering Management 2017, Volume 4, Issue 1, Pages 41-48 doi: 10.15302/J-FEM-2017003

Abstract: Data enabling technology plays an important role in modern scientific discovery and technologic advancementThis position paper argues that data analytics is ready to change engineering management in the followingareas: 1) by making relevant historical data available to the manager at the time when it’s needed;2) by filtering out actionable intelligence from the ocean of data; and 3) by integrating useful dataacquisition and data analytics.

Keywords： engineering management project management big data data analytics planning execution

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Data Analytics and Machine Learning for Smart Process Manufacturing: Recent Advances and Perspectivesin the Big Data Era Perspective

Chao Shang、 Fengqi You

Engineering 2019, Volume 5, Issue 6, Pages 1010-1016 doi: 10.1016/j.eng.2019.01.019

Abstract: The burgeoning era of big data is influencing the process industries tremendously, providing unprecedentedTo attain this goal, data analytics and machine learning are indispensable.In this paper, we review recent advances in data analytics and machine learning applied to the monitoring

Keywords： Big data Machine learning Smart manufacturing Process systems engineering

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Data analytics and optimization for smart industry

Lixin TANG, Ying MENG

Frontiers of Engineering Management 2021, Volume 8, Issue 2, Pages 157-171 doi: 10.1007/s42524-020-0126-0

Abstract: First, this study describes a general methodology for the fusion of data analytics and optimization.Then, it identifies some data analytics and system optimization technologies to handle key issues inThe framework uses data analytics to perceive and analyze industrial production and logistics processesData analytics and system optimization technologies are employed in the four-level framework to overcomeThe fusion of data analytics and optimization allows enterprises to enhance the prediction and control

Keywords： data analytics system optimization smart industry

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The Industrial Internet Platform: Trend and Challenges

Wang Chen,Song Liang and Li Shaokun

Strategic Study of CAE 2018, Volume 20, Issue 2, Pages 15-19 doi: 10.15302/J-SSCAE-2018.02.003

Abstract: elaborated and the challenges in building the client-ecosphere, developer-ecosphere, as well as the data-ecosphereFurthermore, the technical challenges of IIP in modeling and analyzing industry big data system and industrydata are discussed in depth.

Keywords： industry Internet platform industrial big data data analytics

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Special issue: Decision, risk analytics and data intelligence

Xiaozhe ZHAO, Desheng WU

Frontiers of Engineering Management 2020, Volume 7, Issue 2, Pages 169-171 doi: 10.1007/s42524-020-0114-4

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Special issue: Innovative applications of big data and artificial intelligence

Frontiers of Engineering Management 2022, Volume 9, Issue 4, Pages 517-519 doi: 10.1007/s42524-022-0234-0

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CORRECTION to: Special issue: Decision, risk analytics and data intelligence

Xiaozhe ZHAO, Desheng Wu

Frontiers of Engineering Management 2022, Volume 9, Issue 4, Pages 697-697 doi: 10.1007/s42524-020-0139-8

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A review of systematic evaluation and improvement in the big data environment

Feng YANG, Manman WANG

Frontiers of Engineering Management 2020, Volume 7, Issue 1, Pages 27-46 doi: 10.1007/s42524-020-0092-6

Abstract: The era of big data brings unprecedented opportunities and challenges to management research.Exploring the applicable evaluation methods in the big data environment has become an important subjectdata environment.We first review the evaluation methods based on the main analytic techniques of big data such as dataFocused on the characteristics of big data (association feature, data loss, data noise, and visualization

Keywords： big data evaluation methods systematic improvement big data analytic techniques data mining

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Challenges to Engineering Management in the Big Data Era

Yong Shi

Frontiers of Engineering Management 2015, Volume 2, Issue 3, Pages 293-303 doi: 10.15302/J-FEM-2015042

Abstract: This paper presents a review of the challenges to engineering management in the Big Data Era as wellas the Big Data applications.First, it outlines the definitions of big data, data science and intelligent knowledge and the historyof big data.Second, the paper reviews the academic activities about big data in China.

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

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Clinical research of traditional Chinese medicine in big data era

Junhua Zhang,Boli Zhang

Frontiers of Medicine 2014, Volume 8, Issue 3, Pages 321-327 doi: 10.1007/s11684-014-0370-y

Abstract:

With the advent of big data era, our thinking, technology and methodology are being transformed.Data-intensive scientific discovery based on big data, named “The Fourth Paradigm,” has becomeof diagnosis and treatment, and genomic data have been accumulated dramatically, which generates bigTo conduct clinical studies involved in big data in TCM domain, top level design is needed and shouldcreation, data analysis technology and big-data professionals fostering and training.

Keywords： big data traditional Chinese medicine clinical evaluation evidence based medicine

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Appreciating the role of big data in the modernization of environmental governance

Frontiers of Engineering Management 2022, Volume 9, Issue 1, Pages 163-169 doi: 10.1007/s42524-021-0185-x

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Scientific computation of big data in real-world clinical research

Guozheng Li,Xuewen Zuo,Baoyan Liu

Frontiers of Medicine 2014, Volume 8, Issue 3, Pages 310-315 doi: 10.1007/s11684-014-0358-7

Abstract:

The advent of the big data era creates both opportunities and challenges for traditional Chinese medicinefeature subset optimizing, multi-label learning, and complex networks based on complexity, intelligence, data

Keywords： big data real world clinical research Chinese medicine medical computing

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APFD: an effective approach to taxi route recommendation with mobile trajectory big data Research Article

Wenyong ZHANG, Dawen XIA, Guoyan CHANG, Yang HU, Yujia HUO, Fujian FENG, Yantao LI, Huaqing LI

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10, Pages 1494-1510 doi: 10.1631/FITEE.2100530

Abstract:

With the rapid development of data-driven intelligent transportation systems, an efficient methodan effective taxi approach (called APFD) based on the (APF) method and method with mobile trajectory bigdata.

Keywords： Big data analytics Region extraction Artificial potential field Dijkstra Route recommendation GPS

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Urban spatial cluster structure in metro travel networks: An explorative study of Wuhan using big andopen data

Frontiers of Engineering Management 2024, Volume 11, Issue 2, Pages 231-246 doi: 10.1007/s42524-024-0296-2

Abstract: Rail transit plays a crucial role in improving urban sustainability and livability. In many Chinese cities, the planning of rail transit routes and stations is focused on facilitating new developments rather than revitalizing existing built-up areas. This approach reflects the local governments’ expectations of substantial growth to reshape the urban structure. However, existing research on transit-oriented development (TOD) rarely explores the spatial interactions between individual transit stations and investigates how they can be integrated to achieve synergistic effects and balanced development. This study proposes that rail transit systems impact urban structure through two “forces”: the provision of additional and reliable carrying capacity and the reduction of travel time between locations. Metro passenger flow is used as a proxy for these forces, and community detection techniques are employed to identify the actual and optimal spatial clusters in Wuhan, China. The results reveal that the planned sub-centers align reasonably well with the optimal spatial clusters in terms of spatial configuration. However, the actual spatial clusters tend to have longer internal travel times compared to the optimal clusters. Further exploration suggests the need for equalizing land use density within planned spatial clusters served by the metro system. Additionally, promoting concentrated, differentiated, and mixed functional arrangements in metro station areas with low passenger flows within the planned clusters could be beneficial. This paper presents a new framework for investigating urban spatial clusters influenced by a metro system.

Keywords： urban spatial clusters metro travel flows land use metro smartcard data Wuhan

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A study on specialist or special disease clinics based on big data

Zhuyuan Fang,Xiaowei Fan,Gong Chen

Frontiers of Medicine 2014, Volume 8, Issue 3, Pages 376-381 doi: 10.1007/s11684-014-0356-9

Abstract:

Correlation analysis and processing of massive medical information can be implemented through bigdata technology to find the relevance of different factors in the life cycle of a disease and to provideThis paper explores the concept of constructing a big medical data platform and introduces the clinicalMedical data can be collected and consolidated by distributed computing technology.Big data analysis, such as Hadoop, can be used to construct early prediction and intervention models

Keywords： big data correlation analysis medical information integration data analysis clinical model