Then we applied Case-Based Reasoning
to compare the limitations affecting Law graduates, which are stored in the Base of Cases, and the limitations of Law graduates according to the area of knowledge where they work.
in occupational therapy education has been used as a means of engaging students in learning and to support collaboration among students.
Knowledge management and Case-Based Reasoning
(CBR) as an alternative reasoning paradigm and computational problem solving method are two intertwined topics that have increasingly attracted more and more attention and grown in importance for businesses and academics over the past few years.
The paper is organized as follows: Section 2 provides a literature review on case-based reasoning
and crowd-sourced knowledge.
Girardi, "Case-Based Reasoning
Architecture of an Hybrid Software Agent Software Agent," 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) 2010, pp.
Of the previously cited works, none used artificial intelligence or case-based reasoning
; nor did any use predictive tools other than the application of statistical studies to analyze risk factors.
More specifically, the current version is based on the collaboration of two multilabel case-based reasoning
(CBR)  systems that use confocal and dermoscopy images, respectively, which are the most important image analysis in melanoma cancer to date [3, 4].
Expert system and case-based reasoning
are the common techniques used in KBS.
Ghazalli and Murata(2011) integrated an analytical hierarchy process (AHP) with case-based reasoning
(CBR) to evaluate the product end-of-life (EOL) and develop an evaluation system for remanufacturing .
Riesbeck and Schank, An introduction to case-based reasoning
, Artificial Intelligence Review, 6(1): 3-34.
Research on case retention strategy for industrial case-based reasoning
(CBR) system: A practical case study.
In computer science community, early diagnosis decision support (appeared as expert systems (ES)) research focused on rule-based reasoning (RBR) methods, decision table/tree, and later on Bayesian probabilistic, case-based reasoning