Implementing an integrated time-series data mining environment based on temporal pattern extraction methods: A case study of an interferon therapy risk mining for chronic hepatitis

Hidenao Abe, Miho Ohsaki, Hideto Yokoi, Takahira Yamaguchi

研究成果: Conference contribution

8 被引用数 (Scopus)

抄録

In this paper, we present the implementation of an integrated time-series data mining environment. Time-series data mining is one of key issues to get useful knowledge from databases. With mined time-series patterns, users can aware not only positive results but also negative result called risk after their observation period. However, users often face difficulties during time-series data mining process for data preprocessing method selection/construction, mining algorithm selection, and post-processing to refine the data mining process as other data mining processes. It is needed to develop a time-series data mining environment based on systematic analysis of the process. To get more valuable rules for domain experts from a time-series data mining process, we have designed an environment which integrates time-series pattern extraction methods, rule induction methods and rule evaluation methods with active human-system interaction. After implementing this environment, we have done a case study to mine time-series rules from blood and urine biochemical test database on chronic hepatitis patients. Then a physician has evaluated and refined his hypothesis on this environment. We discuss the availability of how much support to mine interesting knowledge for an expert.

本文言語English
ホスト出版物のタイトルNew Frontiers in Artificial Intelligence - Joint JSAI 2005 Workshop Post-Proceedings
出版社Springer Verlag
ページ425-435
ページ数11
ISBN(印刷版)3540354700, 9783540354703
DOI
出版ステータスPublished - 2006
イベントJoint JSAI 2005 Workshop on New Frontiers in Artificial Intelligence - Kitakyushu City, Japan
継続期間: 2005 6 132005 6 14

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4012 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

OtherJoint JSAI 2005 Workshop on New Frontiers in Artificial Intelligence
CountryJapan
CityKitakyushu City
Period05/6/1305/6/14

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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