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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationNew Frontiers in Artificial Intelligence - Joint JSAI 2005 Workshop Post-Proceedings
PublisherSpringer Verlag
Pages425-435
Number of pages11
ISBN (Print)3540354700, 9783540354703
DOIs
Publication statusPublished - 2006
EventJoint JSAI 2005 Workshop on New Frontiers in Artificial Intelligence - Kitakyushu City, Japan
Duration: 2005 Jun 132005 Jun 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4012 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)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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