Building Symbolic Objects from Data Streams

نویسندگان

  • Georges Hébrail
  • Yves Lechevallier
چکیده

With the increase of computer use in all sectors of activity, more and more data are available as streams of structured records so that it is not possible to store all data before analyzing them in a data mining perspective. New data management systems have been studied to handle such data streams and new algorithms have been developed to perform stream mining. In this paper, we propose approaches to extend the construction of symbolic objects to data streams: symbolic objects are built and maintained as a representation of a complete stream or a sliding window on the stream.

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تاریخ انتشار 2007