The good, the bad and the incorrectly classified: Profiling cases for case-base editing

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Case-based approaches to classification, as instance-based learning techniques, have a particular reliance on training examples that other supervised learning techniques do not have. In this paper we present the RDCL case profiling technique that categorises each case in a case-base based on its classification by the case-base, the benefit it has and/or the damage it causes by its inclusion in the case-base. We show how these case profiles can identify the cases that should be removed from a case-base in order to improve generalisation accuracy and we show what aspects of existing noise reduction algorithms contribute to good performance and what do not.

Original languageEnglish
Title of host publicationCase-Based Reasoning Research and Development - 8th International Conference on Case-Based Reasoning, ICCBR 2009, Proceedings
Pages135-149
Number of pages15
DOIs
Publication statusPublished - 2009
Event8th International Conference on Case-Based Reasoning, ICCBR 2009 - Seattle, WA, United States
Duration: 20 Jul 200923 Jul 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5650 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Case-Based Reasoning, ICCBR 2009
Country/TerritoryUnited States
CitySeattle, WA
Period20/07/0923/07/09

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