A hierarchical case representation using context guided retrieval

Ian Watson, Srinath Perera

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)

Abstract

This paper presents a hierarchical case representation using a context guided retrieval method. The performance of this method is compared to that of a simpler flat file representation using standard nearest neighbour retrieval. The estimation of construction costs of light industrial buildings is used as the test domain. Each case in the system has approximately 400 features. These are structured into a hierarchical case representation that holds more general contextual features at its top and specific building elements at its leaves. Problems are decomposed into sub-problems and solutions recomposed into a final solution. Comparative results show that the context guided retrieval method using the hierarchical case representation is significantly more accurate than the simpler flat file representation using standard nearest neighbour retrieval.
Original languageEnglish
Pages (from-to)285-292
JournalKnowledge-Based Systems
Volume11
Issue number5-6
DOIs
Publication statusPublished - Jul 1998

Keywords

  • case-based reasoning
  • case-representation

Fingerprint

Dive into the research topics of 'A hierarchical case representation using context guided retrieval'. Together they form a unique fingerprint.

Cite this