TY - JFULL AU - M. R. Aghaebrahimi and S. H. Zahiri and M. Amiri PY - 2009/2/ TI - Data Mining Using Learning Automata T2 - International Journal of Computer and Information Engineering SP - 23 EP - 27 VL - 3 SN - 1307-6892 UR - https://publications.waset.org/pdf/6146 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 25, 2009 N2 - In this paper a data miner based on the learning automata is proposed and is called LA-miner. The LA-miner extracts classification rules from data sets automatically. The proposed algorithm is established based on the function optimization using learning automata. The experimental results on three benchmarks indicate that the performance of the proposed LA-miner is comparable with (sometimes better than) the Ant-miner (a data miner algorithm based on the Ant Colony optimization algorithm) and CNZ (a well-known data mining algorithm for classification). ER -