Paper Info
Title
Case-Base Maintenance By Integrating Case-Index Revision And Case-Retention Policies In A Derivational Replay Framework
Abstract
This article presents case-base maintenance policies for case index revision and case retention. The policies are formulated in the context of case-based planners performing case adaptation by derivational replay. I implemented these policies on a particular case-based planner and claim that my case-index revision policy improves the accuracy of the retrieval and that the case-retention policy filters redundant cases better than other case-retention policies known from the literature. My claims are validated by empirical validation. It will be seen that there is an interrelation between the two policies that improves the filtering process of the case-retention policy.
Year
DOI
Venue
2001
10.1111/0824-7935.00145
COMPUTATIONAL INTELLIGENCE
Keywords
Field
DocType
case-based maintenance, derivational analogy, feature weighting, planning
Computer science,Filter (signal processing),Planner,Case base,Artificial intelligence,Machine learning
Journal
Volume
Issue
ISSN
17
2
0824-7935
Citations 
PageRank 
References 
8
0.53
0
Authors
1
Name
Order
Citations
PageRank
Hector Muñoz-Avila152244.02