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Titlebook: Decision Support Systems V – Big Data Analytics for Decision Making; First International Boris Deliba?i?,Jorge E. Hernández,Isabelle Linde

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發(fā)表于 2025-3-21 18:33:50 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Decision Support Systems V – Big Data Analytics for Decision Making
副標(biāo)題First International
編輯Boris Deliba?i?,Jorge E. Hernández,Isabelle Linden
視頻videohttp://file.papertrans.cn/265/264281/264281.mp4
概述Includes supplementary material:
叢書(shū)名稱Lecture Notes in Business Information Processing
圖書(shū)封面Titlebook: Decision Support Systems V – Big Data Analytics for Decision Making; First International  Boris Deliba?i?,Jorge E. Hernández,Isabelle Linde
描述.This book constitutes the refereed proceedings of the First International Conference on Decision Support Systems Technology, ICDSST 2015, held in Belgrade, Serbia, in May 2015. The theme of the event was “Big Data Analytics for Decision-Making” and it was organized by the EURO (Association of European Operational Research Societies) working group of Decision Support Systems (EWG-DSS)..The eight papers presented in this book were selected out of 26 submissions after being carefully reviewed by at least three internationally known experts from the ICDSST 2015 Program Committee and external invited reviewers. The selected papers are representative of current and relevant research activities in the area of decision support systems, such as decision analysis for enterprise systems and non-hierarchical networks, integrated solutions for decision support and knowledge management in distributed environments, decision support system evaluations and analysis through social networks, and decision support system applications in real-world environments. The volume is completed by an additional invited paper on big data decision-making use cases..
出版日期Conference proceedings 2015
關(guān)鍵詞DSS; ERP; big data; business intelligence; data analytics; decision support systems; engineering applicati
版次1
doihttps://doi.org/10.1007/978-3-319-18533-0
isbn_softcover978-3-319-18532-3
isbn_ebook978-3-319-18533-0Series ISSN 1865-1348 Series E-ISSN 1865-1356
issn_series 1865-1348
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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發(fā)表于 2025-3-21 23:44:14 | 只看該作者
,‘Big Data’ Decision Making Use Cases,t, strategic long-term decisions. Analyzing “big data” to find a great business plan or to identify the next revolutionary product idea seems however like wishful thinking. Data is useful and we have more of it than ever before and the volume is increasing because data capture and storage is inexpen
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A Tangible Collaborative Decision Support System for Various Variants of the Vehicle Routing Problev) Vehicle Routing Problem With Pickup and Delivery (VRPPD). This extension allows decision makers to solve specific routing problems according to their needs. The proposed collaborative spatial DSS allows two decision makers to collaborate with each other in order to find the best possible solution
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Modeling Interactions Among Criteria in MCDM Methods: A Review,iagrams, fuzzy measures, fuzzy integrals and logical functions. This paper presents the MCDM approaches that include in their analysis the interdependencies and relation between criteria/sub-criteria and thus enable more efficient and realistic modelling of decision-making problems.
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發(fā)表于 2025-3-22 14:14:16 | 只看該作者
El?bieta M. Go?dziak,Izabella Maint, strategic long-term decisions. Analyzing “big data” to find a great business plan or to identify the next revolutionary product idea seems however like wishful thinking. Data is useful and we have more of it than ever before and the volume is increasing because data capture and storage is inexpen
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發(fā)表于 2025-3-22 19:58:08 | 只看該作者
The Price of Selling Citizenshipic and operational capabilities as operational capacity planning, and real-time route optimisation are built upon literature based on operational research, and are extended to the scope of dynamic and uncertain situations. The third capability, strategic logistics network planning is currently under
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發(fā)表于 2025-3-23 03:12:36 | 只看該作者
https://doi.org/10.1057/978-1-137-52427-0iagrams, fuzzy measures, fuzzy integrals and logical functions. This paper presents the MCDM approaches that include in their analysis the interdependencies and relation between criteria/sub-criteria and thus enable more efficient and realistic modelling of decision-making problems.
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發(fā)表于 2025-3-23 05:51:15 | 只看該作者
Decision Support Systems V – Big Data Analytics for Decision MakingFirst International
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