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A model for quality guaranteed resource-aware stream mining

Research output: Contribution to conferencePaperpeer-review

  • M. Karnstedt
  • C. Franke
  • M. Gaber
Data streams are produced continuously at a high speed. Most data stream mining techniques address this challenge by using adaptation and approximation techniques. Adapting to available resources has been addressed recently. Although these techniques ensure the continuity of the data mining process under resource limitation, the quality of the output is still an open issue. In this paper, we propose a generic model that guarantees the quality of the output while maintaining efficient resource consumption. The model works on estimating the quality of the output given the available resources. Only a subset of these resources will be used that guarantees the minimum quality loss. The model is generalized for any data stream mining technique.
Original languageEnglish
Publication statusPublished - 17 Sep 2007
EventProceedings of the International Workshop on Knowledge Discovery from Ubiquitous Data Streams (IWKDUDS07), in conjunction with ECML and PKDD 2007 - Warsaw, Poland
Duration: 17 Sep 2007 → …

Conference

ConferenceProceedings of the International Workshop on Knowledge Discovery from Ubiquitous Data Streams (IWKDUDS07), in conjunction with ECML and PKDD 2007
CountryPoland
CityWarsaw
Period17/09/07 → …

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