A new case-based classification using incremental concept lattice knowledge
| dc.contributor.author | Muangprathub, Jirapond | |
| dc.contributor.author | Boonjing, Veera | |
| dc.contributor.author | Pattaraintakorn, Puntip | |
| dc.date.accessioned | 2026-08-06T10:06:17Z | |
| dc.date.available | 2026-08-06T10:06:17Z | |
| dc.date.issued | 2013-01-01 | |
| dc.description.abstract | This paper proposes a new case-based classification system with an incremental knowledge base. The new system employs a concept lattice with formal concept analysis as a knowledge structure. The paper also proposes a new efficient algorithm for knowledge construction as well as an effective retrieval method for formal concepts. The proposed retrieval method uses a concept similarity measure based on an appearance frequency of formal concepts. In addition, we provide a mathematical proof that the similarity measure satisfies a formal similarity metric definition. Experiment results on standard datasets show that our classifier with the proposed similarity measure gives accuracy better than with other existing similarity measures. © 2012 Elsevier B.V. | |
| dc.identifier.citation | Data and Knowledge Engineering, 83, 39-53, 2013 | |
| dc.identifier.doi | 10.1016/j.datak.2012.10.001 | |
| dc.identifier.issn | 0169023X | |
| dc.identifier.other | 2-s2.0-84871927412 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/4780 | |
| dc.source | Data and Knowledge Engineering | |
| dc.subject | Case-based reasoning | |
| dc.subject | Concept lattice | |
| dc.subject | Incremental algorithm | |
| dc.subject | Similarity measures | |
| dc.title | A new case-based classification using incremental concept lattice knowledge | |
| dc.type | Article |