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Ubiquitous data stream mining

Research output: Contribution to conferencePaperpeer-review

  • M. Gaber
  • S. Krishnaswamy
  • A. Zaslavsky
The dissemination of data stream systems, wireless networks and mobile devices motivates the need for an efficient data analysis tool capable of gaining insights about these continuous data streams. Ubiquitous data mining (UDM) is concerned with this problem. UDM is the time-critical process of pattern discovery in data streams in a wireless environment. In this paper, the state of the art of mining data streams is given and our approach in tackling the problem is presented. The paper also highlights the addressed and open issues in the field.
Original languageEnglish
Publication statusPublished - 26 May 2004
EventProceedings of Current Research and Future Directions Workshop Proceedings, held in conjunction with the Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining - Sydney, Australia
Duration: 26 May 2004 → …

Conference

ConferenceProceedings of Current Research and Future Directions Workshop Proceedings, held in conjunction with the Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining
CountryAustralia
CitySydney
Period26/05/04 → …

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