• DocumentCode
    3424253
  • Title

    Ubiquitous personalized information processing with wildcards

  • Author

    Wu, Xindong

  • Author_Institution
    Coll. of Comput. Sci. & Inf. Technol., Hefei Univ. of Technol., Hefei, China
  • fYear
    2009
  • fDate
    17-19 Aug. 2009
  • Firstpage
    5
  • Lastpage
    5
  • Abstract
    Summary form only given. With the rapid development of computer, communication and networking technologies, Web information resources are becoming increasingly rich, and on-line applications are required to be more and more flexible. Therefore, a new generation of information models and mechanisms for these information processing requirements has become a major challenge. This talk will discuss four scientific problems in ubiquitous personalized information processing with wildcards*, including demand driven aggregation of information resources, mining and analysis for aggregated information, user interest modeling, and system security. With these four components, a pervasive and personalized information processing mechanism can be constructed for dynamically organizing and optimizing multiple information resources, implementing a transparent and scalable information processing architecture, and flexibly building information and analysis services to meet various user demands.
  • Keywords
    Web sites; data mining; security of data; ubiquitous computing; Web information resource; demand driven aggregation; information model; information processing requirement; pervasive information processing mechanism; system security; ubiquitous personalized information processing; user interest modeling; wildcard; Application software; Buildings; Communications technology; Computer networks; Information analysis; Information processing; Information resources; Information security; Organizing; Pervasive computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2009, GRC '09. IEEE International Conference on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-1-4244-4830-2
  • Type

    conf

  • DOI
    10.1109/GRC.2009.5255135
  • Filename
    5255135