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A Data Stream Mining System
2008
2008 IEEE International Conference on Data Mining Workshops
On-line data stream mining has attracted much research interest, but systems that can be used as a workbench for online mining have not been researched, since they pose many difficult research challenges. The proposed system addresses these challenges by an architecture based on three main technical advances, (i) introduction of new constructs and synoptic data structures whereby complex KDD queries can be easily expressed and efficiently supported, (ii) an integrated library of mining
doi:10.1109/icdmw.2008.133
dblp:conf/icdm/ThakkarMZ08
fatcat:ehspz3x7k5h4hd6sbja4z54ine