@techreport{oai:ipsj.ixsq.nii.ac.jp:00050284,
 author = {MIHO, OHSAKI and HIDENAO, ABE and SHINYA, KITAGUCHI and SHUNJI, KUME and HIDETO, YOKOI and TAKAHIRA, YAMAGUCHI and Miho, Ohsaki and Hidenao, Abe and Shinya, Kitaguchi and Shunji, Kume and Hideto, Yokoi and Takahira, Yamaguchi},
 issue = {125(2004-ICS-138)},
 month = {Dec},
 note = {医学の時系列データを対象とした統合的な知識発見環境を実現するため，我々は肝炎の検査データに対するケーススタディを積み重ねてきた．今回は，時系列データからのパターン抽出アルゴリズムを提案しマイニングシステムに組み込むとともに，実際に得られたルールを医学専門家に評価してもらった．本報告ではルールの評価結果，これまでのケーススタディで得られた知識発見の方法論，およびマイニングシステムから統合的な知識発見環境への拡張について示す．, We have been conducting case studies for clinical dataset on hepatitis, a common chronic disease, to realize a comprehensive KDD environment for medical time series data.We here propose a new pattern extraction algorithm and embed the algorithm in our latest mining system. This paper reports the rules generated by the mining system and their evaluation results by a medical expert. It also reports the KDD methodology obtained through the case studies and how to extend the mining system to a comprehensive KDD environment.},
 title = {Development and Evaluation of an Integrated Time - Series KDD Environment -A Case Study of Medical KDD on Hepatitis-},
 year = {2004}
}