Case-Based Reasoning systems usually retrieve cases using a similarity function based on K-NN or some derivatives. These functions are sensitive to irrelevant or noisy features. We...
This paper is an empirical investigation into the effectiveness of linear scaling adaptation for case-based software project effort prediction. We compare two variants of a linea...
Colin Kirsopp, Emilia Mendes, Rahul Premraj, Marti...
Abstract. In this paper, we investigate two novel indexing schemes called DHS and D-HS+PSR(II) designed for use in case-based reasoning systems. D-HS is based on a matrix of cases ...
Case-based reasoning is a flexible methodology to manage software development related tasks. However, when the reasoner’s task is prediction, there are a number of different CBR ...
Rosina Weber, Michael Waller, June M. Verner, Will...
CBR applications running in real domains can easily reach thousands of cases, which are stored in the case library. Retrieval times can increase greatly if the retrieval algorithm ...
Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nu...