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Volume 17 Issue 2
March  2002
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LIU Hongyan, LU Hongjun, CHEN Jian. A Fast Scalable Calssifier Tightly Integrated with RDBMS[J]. Journal of Computer Science and Technology, 2002, 17(2).
Citation: LIU Hongyan, LU Hongjun, CHEN Jian. A Fast Scalable Calssifier Tightly Integrated with RDBMS[J]. Journal of Computer Science and Technology, 2002, 17(2).
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A Fast Scalable Calssifier Tightly Integrated with RDBMS

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  • Published Date: March 14, 2002
    Abstract
  • In this paper, we report our successin building efficient scalable classifiers by exploring the capabilities ofmodern relational database management systems (RDBMS). In addition to highclassification accuracy, the unique features of the approach includeits high training speed, linear scalability, and simplicity inimplementation. More importantly, the major computation required in theapproach can be implemented using standard functions provided by themodern relational DBMS. Besides, with the effective rule pruningstrategy, the algorithm proposed in this paper can produce a compactset of classification rules. The results of experiments conducted forperformance evaluation and analysis are presented.
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