@article{(Open Science Index):https://publications.waset.org/pdf/8891,
	  title     = {Methods for Case Maintenance in Case-Based Reasoning},
	  author    = {A. Lawanna and  J. Daengdej},
	  country	= {},
	  institution	= {},
	  abstract     = {Case-Based Reasoning (CBR) is one of machine
learning algorithms for problem solving and learning that caught a lot
of attention over the last few years. In general, CBR is composed of
four main phases: retrieve the most similar case or cases, reuse the
case to solve the problem, revise or adapt the proposed solution, and
retain the learned cases before returning them to the case base for
learning purpose. Unfortunately, in many cases, this retain process
causes the uncontrolled case base growth. The problem affects
competence and performance of CBR systems. This paper proposes
competence-based maintenance method based on deletion policy
strategy for CBR. There are three main steps in this method. Step 1,
formulate problems. Step 2, determine coverage and reachability set
based on coverage value. Step 3, reduce case base size. The results
obtained show that this proposed method performs better than the
existing methods currently discussed in literature.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {1},
	  year      = {2010},
	  pages     = {82 - 90},
	  ee        = {https://publications.waset.org/pdf/8891},
	  url   	= {https://publications.waset.org/vol/37},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 37, 2010},
	}