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Titlebook: Mastering Data-Intensive Collaboration and Decision Making; Research and practic Nikos Karacapilidis Book 2014 Springer International Publi

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書目名稱Mastering Data-Intensive Collaboration and Decision Making
副標題Research and practic
編輯Nikos Karacapilidis
視頻videohttp://file.papertrans.cn/626/625435/625435.mp4
概述Presents cutting-edge research on working with "big data".Includes reports from the practical application and validation of the EU Dicode project‘s services in real-world use cases.Describes an innova
叢書名稱Studies in Big Data
圖書封面Titlebook: Mastering Data-Intensive Collaboration and Decision Making; Research and practic Nikos Karacapilidis Book 2014 Springer International Publi
描述This book reports on cutting-edge research carried out within the context of the EU-funded Dicode project, which aims at facilitating and augmenting collaboration and decision making in data-intensive and cognitively complex settings. Whenever appropriate, Dicode builds on prominent high-performance computing paradigms and large data processing technologies to meaningfully search, analyze, and aggregate data from diverse, extremely large and rapidly evolving sources. The Dicode approach and services are fully explained and particular emphasis is placed on deepening insights regarding the exploitation of big data, as well as on collaboration and issues relating to sense-making support. Building on current advances, the solution developed in the Dicode project brings together the reasoning capabilities of both the machine and humans. It can be viewed as an innovative “workbench” incorporating and orchestrating a set of interoperable services that reduce the data intensiveness and complexity overload at critical decision points to a manageable level, thus permitting stakeholders to be more productive and effective in their work practices.
出版日期Book 2014
關(guān)鍵詞Cognitive Complexity; Collaborative Decision Making; Data Intensiveness; Data Mining Analytics; Data-Int
版次1
doihttps://doi.org/10.1007/978-3-319-02612-1
isbn_softcover978-3-319-34996-1
isbn_ebook978-3-319-02612-1Series ISSN 2197-6503 Series E-ISSN 2197-6511
issn_series 2197-6503
copyrightSpringer International Publishing Switzerland 2014
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Making Sense of Linked Data: A Semantic Exploration Approach,nducting exploratory search tasks, based on which requirements for algorithmic support to address the observed issues are elicited. A semantic signposting approach for extending a semantic data browser is proposed as a way to address the derived requirements.
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Book 2014ing and orchestrating a set of interoperable services that reduce the data intensiveness and complexity overload at critical decision points to a manageable level, thus permitting stakeholders to be more productive and effective in their work practices.
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2197-6503 nd complexity overload at critical decision points to a manageable level, thus permitting stakeholders to be more productive and effective in their work practices.978-3-319-34996-1978-3-319-02612-1Series ISSN 2197-6503 Series E-ISSN 2197-6511
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Natalja Friesen,J?rg Kindermann,Doris Maassen,Stefan Rüping
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