Bein, Wolfgang W.

Pickl, Stefan Wolfgang

Tao, Fei

English

AIS Electronic Library (AISeL)

CALL FOR PAPERSCall for Papers Issue 3/2019Data Analytics and Optimization for Decision SupportWolfgang Bein • Stefan Wolfgang Pickl • Fei TaoPublished online: 7 November 2017 Springer Fachmedien Wiesbaden GmbH 20171 Special Issue1.1 ThemeTraditional methods for addressing an industrial opti-mization problem usually follow the workflow of‘‘Modeling-Algorithm-Analysis’’. This means first formu-lating a specific industrial problem and establishing itsmathematical optimization model, then finding or design-ing an algorithm/method addressing the problem, andfinally analyzing the results. This method is primarily usedwhen not enough data is available.However, with the pervasive applications of the newgeneration of information technologies (such as cloudcomputing, internet of things, big data, mobile internet,artificial intelligence) in industry, a massive amount of datais generated and collected in the entire process of industry,which makes ‘‘data-driven optimization’’ a new effectivemethod for industrial optimization.Therefore, we suggest this special issue which focusesespecially on data analytics AND optimization for decisionsupport. The direction mentioned above will change, andthe key question is how might optimization techniquessupport modern data analytics?On the other side, the type of big data generated in theentire process is still unclear. Furthermore, the transfor-mation of the traditional mathematical optimization modelto a data-based optimization model (i.e., network-basedoptimization mode), collection and management of usefuldata, and the extraction and utilization of useful informa-tion from such huge and dynamic ‘‘big data’’ are chal-lenging tasks. This has recently motivated researchers andscientists to explore new methods and technologies forindustrial applications of complex network and big data inindustrial optimization, especially machine learning andartificial intelligence.1.2 ObjectiveThe objective of this Special Issue on ‘‘Data Analytics andOptimization for Decision Support’’ is to present the latestadvances and developments of methods, techniques, sys-tems and tools dedicated to that relationship between dataanalytics and optimization.Topics include, but are not limited to, the following:• Data Mining and Optimization with Big Data• Industrial Applications of Big Data• Complex Network Based Information System Model-ing and Optimization• Modern Optimization Techniques in the Context ofAnalyticsProf. W. BeinDepartment of Computer Science, CITA Center for InformationTechnology and Algorithms, University of Nevada, Las Vegas,USAe-mail: wolfgang.bein@unlv.eduURL: https://www.unlv.edu/people/wolfgang-beinProf. S. W. Pickl (&)Department of Computer Science, COMTESSA, UBw München,Munich, Germanye-mail: stefan.pickl@unibw.deURL: https://www.unibw.de/inf1/personen/professoren/picklProf. F. TaoProfessor and Vice Dean of School of Automation Science andElectrical Engineering (SASEE), Beihang University (BUAA),Beijing 100191, Chinae-mail: ftao@buaa.edu.cnURL: http://shi.buaa.edu.cn/taofei/zh_CN/index.htm; http://ev.buaa.edu.cn/Research/Labs___Centers.htm123Bus Inf Syst Eng 59(6):483–484 (2017)https://doi.org/10.1007/s12599-017-0503-3• Data-Driven Enterprise Information Systems Modeling• Internet-of-Things• Predictive and Prescriptive Maintenance• IoT—Cloud-Based Optimization• Simulation-Based Optimization• Data-Driven Modeling and Simulation2 SubmissionPlease submit papers by 1 July 2018 at the latest via thejournal’s online submission system (http://www.editorialmanager.com/buis/). Please observe the instructionsregarding the format and size of contributions to Business& Information Systems Engineering (BISE). Papers shouldadhere to the submission general BISE author guidelines(http://www.bise-journal.com/?page_id=18).All papers will be reviewed anonymously (double-blindprocess) by at least two referees with regard to relevance,originality, and research quality. In addition to the editors ofthe journal, including those of this special focus, distin-guished international professionals with scientific and prac-tical backgrounds will be involved in the review process.3 SchedulePaper submission due: 1 July 2018Notification of authors: 26 August 2018Revisions due: 28 October 2018Notification of authors: 16 December 2018Completion of a second revision (if needed): 20 January2018Anticipated publication date: June 2019123484 W. Bein et al.: Call for Papers Issue 3/2019, Bus Inf Syst Eng 59(6):483–484 (2017)

Call for Papers Issue 3/2019 - Data Analytics and Optimization for Decision Support

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Call for Papers Issue 3/2019 - Data Analytics and Optimization for Decision Support

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