(ALNEELAIN UNIVERSITY, 2003-01) Ali Mohammad Hussien Ibrahmi
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.
