• DocumentCode
    144645
  • Title

    Solution space of non negative matrix factorization and consideration of feature extraction on web application attacks

  • Author

    Matsuda, Tadamitsu

  • Author_Institution
    Dept. of Comput. Sci., Shizuoka Inst. of Sci. & Technol., Fukuroi, Japan
  • Volume
    2
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    892
  • Lastpage
    896
  • Abstract
    Non negative matrix factorization (NMF) has been used for multivariate data analysis, and a lot of algorithms concerning NMF have been investigated. In this paper, we consider the solution space of NMF from the standpoint of computational algebra, and the method for extracting features of Web application attacks.
  • Keywords
    algebra; data analysis; feature extraction; matrix decomposition; NMF; Web application attacks; computational algebra; feature extraction; multivariate data analysis; nonnegative matrix factorization; solution space; Data analysis; Feature extraction; Mathematical model; Matrix decomposition; Polynomials; Sparse matrices; Feature Extraction; Gröbner basis; Non negative matrix factorization; Solution Space; Web Application Attack;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4799-3196-5
  • Type

    conf

  • DOI
    10.1109/InfoSEEE.2014.6947797
  • Filename
    6947797
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=144645