• DocumentCode
    2026979
  • Title

    Data mining technology and its possible applications in city planning

  • Author

    Jian, Wu ; Baohui, Shi ; Yanwei, Wang

  • Author_Institution
    Dept. of Comput. Eng., Beijing Inf. Technol. Coll., Beijing, China
  • Volume
    6
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    2801
  • Lastpage
    2804
  • Abstract
    It is very hard to acquire the information what you really want with the accumulation of large amount of data. Data mining technology has been achieved a great progress with the rapid development of computer science, artificial intelligence, and warehouse. City planning is a job with strong subjective which promotes the development of digital city planning. This makes an increasing demand of data mining technology in areas of digital city planning. This paper described the history and theory development of data mining technologies, especially, rough set whose chief advantage is that it does not need any preliminary or additional information about data. Then some successful applications of rough set were introduced. Furthermore, merits and shortages of some data mining techniques such as rough sets, fuzzy sets, and neural networks were discussed. Finally, the problems faced by city designers were addressed and the possible resolution was also presented.
  • Keywords
    data mining; data warehouses; fuzzy neural nets; fuzzy set theory; planning (artificial intelligence); rough set theory; town and country planning; artificial intelligence; city designers; computer science development; data mining technology; digital city planning; fuzzy set; neural network; rough set; warehouse; Artificial neural networks; Data mining; Fuzzy sets; Planning; Rough sets; Urban planning; Data mining; city planning; rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569238
  • Filename
    5569238