抄録
This research empirically investigates the performance of conventional rule interestingness measures and discusses their availability to supporting KDD through system-human interaction in medical domain. We compared the evaluation results by a medical expert and that by selected measures for the rules discovered from a dataset on hepatitis. Recall and 2 Measure 1 demon-strated the highest performance, and all measures showed different trends under our experimental conditions. These results indicated that some measures can predict really interesting rules at a certain level and that their combinational use in system-human interaction will be useful.
本文言語 | English |
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ページ(範囲) | 1072-1081 |
ページ数 | 10 |
ジャーナル | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) |
巻 | 3029 |
DOI | |
出版ステータス | Published - 2004 |
外部発表 | はい |
イベント | 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004 - Ottowa, Ont., Canada 継続期間: 2004 5 17 → 2004 5 20 |
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)