@inproceedings{afd937eef30e430da3206214f88871a1,
title = "Selecting most adaptable diagnostic solutions through Pivoting-Based Retrieval",
abstract = "The aim of the present paper is to investigate a retrieval strategy for case-based diagnosis called Pivoting Based Retrieval (PBR), based on a tight integration between retrieval and adaptation estimation. It exploits a heuristic estimate of the adaptability of a solution; during retrieval, lower and upper bounds for such an estimate are computed for relevant cases and a pivot case is selected, determining which cases have to be considered and which have not. Such a technique has been evaluated on three different domain models and very satisfactory results have been obtained both in terms of accuracy, space and retrieval time.",
author = "Luigi Portinale and Pietro Torasso and Diego Magro",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Bedm Heidelberg 1997.; 2nd International Conference on Case-Based Reasoning, ICCBR 1997 ; Conference date: 25-07-1997 Through 27-07-1997",
year = "1997",
doi = "10.1007/3-540-63233-6\_509",
language = "English",
isbn = "3540632336",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "393--402",
editor = "Enric Plaza and Leake, \{David B.\}",
booktitle = "Case-Based Reasoning Research and Development - 2nd International Conference on Case-Based Reasoning, ICCBR 1997, Proceedings",
address = "Germany",
}