Continuous Inductive Learning Algorithm (CILA) at

Abstract

ABSTRACT Continuous Inductive Learning Algorithm (CILA) By: Ali Mohammad Hussien Ibrahim M.Sc. in Information Technology Al-Neelain University Faculty of Computer science & Information Technology Supervised by: Associate professor Dr. walid Salameh Inductive leaming systems can be effectively used to acquire classification knowledge from examples, many existing symbolic learning algorithms can be applied in domains with continuous attributes when integrated with adiscretization algorithm to transform the continuous attributes into ordered discretization. In this theses we discuss machine leaming, specially inductive learning and all it’s algorithms, and anew information theoretic discretization method optimized for supervised, and unsupervised learning method's proposed and described, so we proposed improvement of ILA which called Continuous Inductive Learning Algorithm(CILA), and tested in inductive leaming example to show how the discretization method’s deal with continuous value attributes.