A new algorithm for automatic knowledge acquisition in inductive learning

AKGÖBEK Ö., Aydin Y. S., Oztemel E., Aksoy M. S.

KNOWLEDGE-BASED SYSTEMS, cilt.19, sa.6, ss.388-395, 2006 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 19 Sayı: 6
  • Basım Tarihi: 2006
  • Doi Numarası: 10.1016/j.knosys.2006.03.001
  • Dergi Adı: KNOWLEDGE-BASED SYSTEMS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.388-395
  • Marmara Üniversitesi Adresli: Evet

Özet

The objective of this study is to present a new algorithm, REX-1, developed for automatic knowledge acquisition in Inductive Learning. It aims at eliminating the pitfalls and disadvantages of the techniques and algorithms currently in use. The proposed algorithm makes use of the direct rule extraction approach, rather than the decision tree. For this purpose, it uses a set of examples to induce general rules. Using some widely used set of examples such as IRIS, Balance and Balloons, Monk, Splice, Promoter, Lenses, Zoo, and Vote, our algorithm is compared with other well-known algorithms such as ID3, C4.5, ILA, and Rules Family. (c) 2006 Elsevier B.V. All rights reserved.