• DocumentCode
    1729575
  • Title

    Application of data mining in agricultural topic tracking

  • Author

    Zhang, Wei ; Wang, Xue ; Li, Shuping ; Xia, Chunyan

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Mudanjiang Normal Univ., Mudanjiang, China
  • Volume
    1
  • fYear
    2011
  • Firstpage
    38
  • Lastpage
    41
  • Abstract
    This paper combined characteristics of agricultural topic tracking, researches attributes reduction of Rough Set Theory. The experimental results show that the algorithm is verified to be more feasible and effective. Solve the key problems of agricultural topic tracking.
  • Keywords
    agricultural engineering; data mining; rough set theory; agricultural topic tracking; attribute reduction; data mining; rough set theory; Agriculture; Algorithm design and analysis; Data mining; Educational institutions; Heuristic algorithms; Humidity; Information systems; agricultural; data mining; rough set; topic tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6181903
  • Filename
    6181903