Advanced computational methods for k...
Clark Conference ((2005 :)

 

  • Advanced computational methods for knowledge engineering[electronic resource] :proceedings of the 4th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2016, 2-3 May, 2016, Vienna, Austria /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 006.3
    書名/作者: Advanced computational methods for knowledge engineering : proceedings of the 4th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2016, 2-3 May, 2016, Vienna, Austria // edited by Thanh Binh Nguyen ... [et al.].
    其他題名: ICCSAMA 2016
    其他作者: Nguyen, Thanh Binh.
    團體作者: Clark Conference
    出版者: Cham : : Springer International Publishing :, 2016.
    面頁冊數: xi, 296 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Computational intelligence
    標題: Engineering.
    標題: Computational Intelligence.
    標題: Artificial Intelligence (incl. Robotics)
    ISBN: 9783319388847
    ISBN: 9783319388830
    內容註: Part I. Advanced Optimization Methods and Their Applications -- Part II. Models for ICT Applications -- Part III. Topics on Discrete Mathematics -- Part IV. Data Analytic Methods and Applications -- Part V. Feature Extraction.
    摘要、提要註: This proceedings consists of 20 papers which have been selected and invited from the submissions to the 4th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2016) held on 2-3 May, 2016 in Laxenburg, Austria. The conference is organized into 5 sessions: Advanced Optimization Methods and Their Applications, Models for ICT applications, Topics on discrete mathematics, Data Analytic Methods and Applications and Feature Extractio, respectively. All chapters in the book discuss theoretical and practical issues connected with computational methods and optimization methods for knowledge engineering. The editors hope that this volume can be useful for graduate and Ph.D. students and researchers in Applied Sciences, Computer Science and Applied Mathematics.
    電子資源: http://dx.doi.org/10.1007/978-3-319-38884-7
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