Proceedings of the Eleventh International Conference on Management Science and Engineering Management [electronic resource] / edited by Jiuping Xu, Mitsuo Gen, Asaf Hajiyev, Fang Lee Cooke.
Contributor(s): Xu, Jiuping [editor.] | Gen, Mitsuo [editor.] | Hajiyev, Asaf [editor.] | Cooke, Fang Lee [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes on Multidisciplinary Industrial Engineering: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XXIV, 1801 p. 604 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319592800.Subject(s): Industrial engineering | Production engineering | Quantitative research | Electronic data processing—Management | Industrial and Production Engineering | Data Analysis and Big Data | IT OperationsAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 670 Online resources: Click here to access online In: Springer Nature eBookSummary: This book is organized in 2 volumes and 6 parts. Part I is Big Data Analytics, which is about new advances of analysis, statistics, coordination and data mining of big data; Part II is Information Systems Management, which is about the development of big data information system or cloud platform. Part III is Computing Methodology with Big Data, which is about the improvements of traditional computation technologies in the background of big data; Part IV is Uncertainty Decision Making, which is about the decision making methods with various uncertain information, such as fuzzy, random, rough, gray, unascertained. Part V is Intelligence Algorithm. Part VI is Data Security, which is a particularly important aspect in the modern management environment.This book is organized in 2 volumes and 6 parts. Part I is Big Data Analytics, which is about new advances of analysis, statistics, coordination and data mining of big data; Part II is Information Systems Management, which is about the development of big data information system or cloud platform. Part III is Computing Methodology with Big Data, which is about the improvements of traditional computation technologies in the background of big data; Part IV is Uncertainty Decision Making, which is about the decision making methods with various uncertain information, such as fuzzy, random, rough, gray, unascertained. Part V is Intelligence Algorithm. Part VI is Data Security, which is a particularly important aspect in the modern management environment.
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