ILA-2: An Inductive Learning Algorithm over uncertain data

نویسندگان

  • Mehmet R. Tolun
  • Hayri Sever
  • Mahmut Uludag
چکیده

ABSTRACT AND CONCLUSION NEEDS TO BE RE-WRITTEN. ESPECIALLY WE SHOULD EMPHASIZE OUR CONTRIBUTION AND ORGINALITY OF THE WORK IN CONCLUSION. In this paper we describe the ILA-2 rule induction algorithm from the machine learning domain. ILA2 is the improved version of a novel inductive learning algorithm, namely ILA. We first describe the basic algorithm ILA, then present how the algorithm was improved. We also compare ILA-2 to a range of induction algorithms, including ILA. According to the empirical comparisons, ILA-2 appears to be comparable to CN2 and C4.5 algorithms in terms of output classifiers’ accuracy and size.AND CONCLUSION NEEDS TO BE RE-WRITTEN. ESPECIALLY WE SHOULD EMPHASIZE OUR CONTRIBUTION AND ORGINALITY OF THE WORK IN CONCLUSION. In this paper we describe the ILA-2 rule induction algorithm from the machine learning domain. ILA2 is the improved version of a novel inductive learning algorithm, namely ILA. We first describe the basic algorithm ILA, then present how the algorithm was improved. We also compare ILA-2 to a range of induction algorithms, including ILA. According to the empirical comparisons, ILA-2 appears to be comparable to CN2 and C4.5 algorithms in terms of output classifiers’ accuracy and size.

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تاریخ انتشار 2007