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  • Machine learning and knowledge discovery in databases[electronic resource] :European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016 : proceedings.Part II /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    杜威分類號: 006.31
    書名/作者: Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016 : proceedings./ edited by Paolo Frasconi ... [et al.].
    其他題名: ECML PKDD 2016
    其他作者: Frasconi, Paolo.
    團體作者: Clark Conference
    出版者: Cham : : Springer International Publishing :, 2016.
    面頁冊數: xxviii, 825 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Machine learning
    標題: Data mining
    標題: Computer Science.
    標題: Data Mining and Knowledge Discovery.
    標題: Artificial Intelligence (incl. Robotics)
    標題: Pattern Recognition.
    標題: Information Storage and Retrieval.
    標題: Database Management.
    標題: Information Systems Applications (incl. Internet)
    ISBN: 9783319462271
    ISBN: 9783319462264
    內容註: Practical and real-world studies of machine learning, knowledge discovery, data mining -- Innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting -- Recent advances at the frontier of machine learning and data mining with other disciplines.
    摘要、提要註: The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 full papers and 16 short papers presented were carefully reviewed and selected from a total of 460 submissions. The papers presented focus on practical and real-world studies of machine learning, knowledge discovery, data mining; innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other disciplines. Part I and Part II of the proceedings contain the full papers of the contributions presented in the scientific track and abstracts of the scientific plenary talks. Part III contains the full papers of the contributions presented in the industrial track, short papers describing demonstration, the nectar papers, and the abstracts of the industrial plenary talks.
    電子資源: http://dx.doi.org/10.1007/978-3-319-46227-1
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