ILA-2: AN INDUCTIVE LEARNING ALGORITHM FOR KNOWLEDGE DISCOVERY MEHMET R. TOLUN Department of Computer Engineering, Eastern Mediterranean University, Gazimagusa, Turkey HAYRI SEVER Department of Computer Science, Hacettepe University, Ankara, Turkey Æ MAHMUT ULUDAG Information Security Research Institute, Gebze, Kocaeli, Turkey SALEH M. ABU-SOUD Department of Computer Science, Princess Sumaya University College for Technology, Amman, Jordan In this paper we describe the ILA-2 rule induction algorithm, which is the s . improved version of a novel inductive learning algorithm ILA . We first outline the basic algorithm ILA, and then present how the algorithm is improved using a new evaluation metric that handles uncertainty in the data. By using a new soft computing metric, users can reflect their prefer- ences through a penalty factor to control the performance of the algorithm. Inductive learning algorithm has also a faster pass criteria feature which reduces the processing time without sacrificing much from the accuracy that is not available in basic ILA. Address correspondence to Mehmet R. Tolun, Department of Computer Engineer- ing, Eastern Mediterranean University, Gazimagusa, T.R.N.C. Turkey. E-mail: tolun.com- penet.emu.edu.tr Cybernetics and Systems: An International Journal, 30:609 ] 628, 1999 Copyright Q 1999 Taylor & Francis 0196-9722 ¤99 $12.00 + .00 609