Scalable Uncertainty Management[elec...
Beierle, Christoph.

 

  • Scalable Uncertainty Management[electronic resource] :9th International Conference, SUM 2015, Quebec City, QC, Canada, September 16-18, 2015 : proceedings /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 003.54
    書名/作者: Scalable Uncertainty Management : 9th International Conference, SUM 2015, Quebec City, QC, Canada, September 16-18, 2015 : proceedings // edited by Christoph Beierle, Alex Dekhtyar.
    其他題名: SUM 2015
    其他作者: Beierle, Christoph.
    團體作者: Clark Conference
    出版者: Cham : : Springer International Publishing :, 2015.
    面頁冊數: xix, 421 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Uncertainty (Information theory)
    標題: Computer Science.
    標題: Artificial Intelligence (incl. Roboti..s)
    標題: Information Systems Applications (incl. Internet)
    標題: Information Storage and Retrieval.
    標題: Computer Communication Networks.
    標題: Database Management.
    標題: Data Mining and Knowledge Discovery.
    ISBN: 9783319235400
    ISBN: 9783319235394
    摘要、提要註: This book constitutes the refereed proceedings of the 9th International Conference on Scalable Uncertainty Management, SUM 2015, held in Quebec City, QC, Canada, in September 2015. The 25 regular papers and 3 short papers were carefully reviewed and selected from 49 submissions. The call for papers for SUM 2015 solicited submissions in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.
    電子資源: http://dx.doi.org/10.1007/978-3-319-23540-0
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