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Titlebook: EURO Working Group on DSS; A Tour of the DSS De Jason Papathanasiou,Pascale Zaraté,Jorge Freire de Book 2021 Springer Nature Switzerland AG

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發(fā)表于 2025-3-21 17:10:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱EURO Working Group on DSS
副標(biāo)題A Tour of the DSS De
編輯Jason Papathanasiou,Pascale Zaraté,Jorge Freire de
視頻videohttp://file.papertrans.cn/301/300618/300618.mp4
概述Surveys the developments of Decision Support Systems (DSS) in the last 30 years.Examines current trends, emerging topics, and new technologies in use for future DSS research.Chapters are written by re
叢書(shū)名稱Integrated Series in Information Systems
圖書(shū)封面Titlebook: EURO Working Group on DSS; A Tour of the DSS De Jason Papathanasiou,Pascale Zaraté,Jorge Freire de Book 2021 Springer Nature Switzerland AG
描述.This book recapitulates the major developments in Decision Support Systems (DSS) over the last 30 years in order to evaluate the research areas of decision making and in which direction the field should proceed. As it attempts to find a consensus about the next steps for the future of DSS research, the book also enforces the trends and new technologies currently in use.?..The book examines topics 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 evaluation and analysis through social networks, and e-learning and its application to real environments. It clearly presents the evidence to support their cases and attempts to promote an extensive and objective discussion. In addition, the book also reflects on approaches to dead-end ideas and failures in DSS to better understand the lessons learned...The contributions forthis book have been written by thought leaders and influential researchers from the EURO Working Group of Decision Support Systems (EWG-DSS)..
出版日期Book 2021
關(guān)鍵詞Decision Support Systems; Optimization; Operations Research; Operational Research; Information Systems; D
版次1
doihttps://doi.org/10.1007/978-3-030-70377-6
isbn_softcover978-3-030-70379-0
isbn_ebook978-3-030-70377-6Series ISSN 1571-0270 Series E-ISSN 2197-7968
issn_series 1571-0270
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Two Grand Challenges for DSS Evolution,ed, researchers leverage the tools to expand the capabilities of DSS. However, advances in DSS are often piecemeal, lacking synergies that could come from adopting a grand challenge. The future will exhibit a similar pattern of technological advances, with analytics and artificial intelligence being
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,30?Years of the EWG-DSS Through the Lens of the Collab-Net Project,ms (EWG-DSS) is now considered as one of the most stable and active groups of EURO and a reference on DSS in Europe and Worldwide. The EWG-DSS membership has continuously grown since its creation. The group currently counts with over 250 registered members, 340 members in LinkedIn, and 174 Twitter f
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Decision Support in the Era of Social Media and User-Generated Content,ly without extra cost. However, a larger database does not automatically lead to better decisions, and volume, variety, and veracity of data from different sources are often overwhelming and challenging. This chapter provides two cases where we used big social data as basis for decision-making. The
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Social Responsibility of Algorithms: An Overview,societies? This chapter makes a short overview of the scientific investigation around this topic, showing that the development, existence and use of such autonomous artefacts are much older than the recent interest in machine learning monopolised artificial intelligence. We then categorise the impac
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