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Discovering Temporal Relation Rules Mining from Interval Data

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EurAsia-ICT 2002: Information and Communication Technology (EurAsia-ICT 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2510))

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Abstract

In this paper, we propose a new data mining technique that can address the temporal relation rules of temporal interval data by using Allen’s theory. We present two new algorithms for discovering temporal relationships: one is to preprocess an algorithm for the generalization of temporal interval data and to transform timestamp data into temporal interval data; and the other is to use a temporal relation algorithm for mining temporal relation rules and to discover the rules from temporal interval data. This technique can provide more useful knowledge in comparison with other conventional data mining techniques.

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Author information

Authors and Affiliations

  1. Database Laboratory, School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, 361-763, Republic of Korea

    Jun Wook Lee & Keun Ho Ryu

  2. Postal Technology Development Department, Electronics and Telecommunications Research Institute, Korea

    Yong Joon Lee & Hey Kyu Kim

  3. Department of Computer Science, Chonnam National University, Korea, 300, Yongbong-dong,Gwangju, Chonnam, Korea

    Bu Hun Hwang

Authors
  1. Jun Wook Lee
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  2. Yong Joon Lee
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  3. Hey Kyu Kim
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  4. Bu Hun Hwang
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  5. Keun Ho Ryu
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Editor information

Editors and Affiliations

  1. Faculty of Mathematics and Computer Science Computer Science Department, Shahid Bahonar University, 22 Bahman Bulvard, Kerman, Iran

    Hassan Shafazand

  2. Fraunhofer IPSI, Dolivostr. 15, 64293, Darmstadt, Germany

    Hassan Shafazand

  3. Institute of Software Technology, Vienna University of Technology, Favoritenstr. 9/188, 1040, Vienna, Austria

    A. Min Tjoa

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© 2002 Springer-Verlag Berlin Heidelberg

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Lee, J.W., Lee, Y.J., Kim, H.K., Hwang, B.H., Ryu, K.H. (2002). Discovering Temporal Relation Rules Mining from Interval Data. In: Shafazand, H., Tjoa, A.M. (eds) EurAsia-ICT 2002: Information and Communication Technology. EurAsia-ICT 2002. Lecture Notes in Computer Science, vol 2510. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36087-5_7

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  • DOI: https://doi.org/10.1007/3-540-36087-5_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00028-0

  • Online ISBN: 978-3-540-36087-2

  • eBook Packages: Springer Book Archive

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