• DocumentCode
    189090
  • Title

    Research of Big Data Analysis on Rough Set and Electromagnetism-Like Mechanism Algorithm

  • Author

    Shang Yun

  • Author_Institution
    Inf. Eng. Dept., Lanzhou Vocational Tech. Coll., Lanzhou, China
  • fYear
    2014
  • fDate
    11-13 Sept. 2014
  • Firstpage
    923
  • Lastpage
    926
  • Abstract
    The data volume and the complexity of query and analysis are the main features of big data analysis. Rough set theory is led in to enhance information processing capacity, electromagnetism-like mechanism algorithm can also avoid local optimum search, big data analysis system based on three-tier structure is built to deal with noise processing deficiencies and uncertain factors on data collection in previous analysis techniques. Some challenging research problems in the future are discussed.
  • Keywords
    Big Data; data analysis; query processing; rough set theory; Big Data analysis; data collection; data volume; electromagnetism-like mechanism algorithm; information processing capacity; noise processing deficiencies; query complexity; rough set theory; three-tier structure; Algorithm design and analysis; Big data; Data analysis; Data mining; Databases; Optimization; Set theory; big data; electromagnetism-like mechanism algorithm; reduction; rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (CIT), 2014 IEEE International Conference on
  • Conference_Location
    Xi´an
  • Type

    conf

  • DOI
    10.1109/CIT.2014.173
  • Filename
    6984780