Paper Info
Title
Using Case Provenance to Propagate Feedback to Cases and Adaptations
Abstract
Case provenance concerns how cases came into being in a case-based reasoning system. Case provenance information has been proposed as a resource to exploit for tasks such as guiding case-based maintenance and estimating case confidence [1]. The paper presents a new bidirectional provenance-based method for propagating case confidence, examines when provenance-based maintenance is likely to be useful, and expands the application of provenance-based methods to a new task: assessing the quality of adaptation rules. The paper demonstrates the application of the resulting quality estimates to rule maintenance and prediction of solution quality.
Year
DOI
Venue
2008
10.1007/978-3-540-85502-6_17
ECCBR
Keywords
Field
DocType
case base reasoning,use case
Data science,Data mining,Provenance,Exploit,Engineering,Reasoning system
Conference
Volume
ISSN
Citations 
5239
0302-9743
6
PageRank 
References 
Authors
0.55
19
2
Name
Order
Citations
PageRank
David B. Leake11369121.60
Scott A. Dial260.55