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FCV1: A new fast greedy covering algorithm

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Abstract

In this paper, a new covering algorithm called FCV1 is presented. FCV1 comprises two algorithms, one of which is able to fast search for a partial rule and exclude the large portion of negative examples, the other algorithm incorporates the more optimized greedy set-covering algorithm, and runs on a small portion of training examples. Hence, the training process of FCV1 is much faster than that of AQ15.

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Authors and Affiliations

  1. Department of Computer Science, Harbin Institute of Technology, 150001, Harbin, P.R. China

    Chen Bin & Hong Yong

Authors
  1. Chen Bin
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  2. Hong Yong
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Additional information

Supported by National Natural Science Foundation of China and the Research Fund of Harbin Institute of Technology.

Chen Bin, male, was born in 1968, and received his Ph.D. degree in 1997. His major is machine learning and computational learning theory.

Hong Yong, male, Ph.D. candidate, was born in 1973, and received his M.S. degree in 1997. His major is machine learning and its applications.

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Chen, B., Hong, Y. FCV1: A new fast greedy covering algorithm. J. of Comput. Sci. & Technol. 13, 369–374 (1998). https://doi.org/10.1007/BF02946625

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  • DOI: https://doi.org/10.1007/BF02946625

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