Spatio-temporal association mining for un-sampled sites

Dan Li; Jitender Deogun

doi:10.1007/978-3-540-39592-8_68

Spatio-temporal association mining for un-sampled sites

Dan Li, Jitender Deogun

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we investigate interpolation methods that are suitable for discovering spatio-temporal association rules for unsampled points with an initial focus on drought risk management. For drought risk management, raw weather data is collected, converted to various indices, and then mined for association rules. To generate association rules for unsampled sites, interpolation methods can be applied at any stage of this data mining process. We develop and integrate three interpolation models into our association rule mining algorithm. The performance of these three models is experimentally evaluated comparing interpolated association rules with rules discovered from actual raw data.

Original language	English (US)
Title of host publication	Foundations of Intelligent Systems - 14th International Symposium, ISMIS 2003, Proceedings
Editors	Ning Zhong, Zbigniew W. Ras, Shusaku Tsumoto, Einoshin Suzuki
Publisher	Springer Verlag
Pages	478-485
Number of pages	8
ISBN (Print)	3540202560, 9783540202561
DOIs	https://doi.org/10.1007/978-3-540-39592-8_68
State	Published - 2003
Externally published	Yes
Event	14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003 - Maebashi City, Japan Duration: Oct 28 2003 → Oct 31 2003

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2871
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003
Country/Territory	Japan
City	Maebashi City
Period	10/28/03 → 10/31/03

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-39592-8_68

Cite this

Li, D., & Deogun, J. (2003). Spatio-temporal association mining for un-sampled sites. In N. Zhong, Z. W. Ras, S. Tsumoto, & E. Suzuki (Eds.), Foundations of Intelligent Systems - 14th International Symposium, ISMIS 2003, Proceedings (pp. 478-485). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2871). Springer Verlag. https://doi.org/10.1007/978-3-540-39592-8_68

Spatio-temporal association mining for un-sampled sites. / Li, Dan; Deogun, Jitender.
Foundations of Intelligent Systems - 14th International Symposium, ISMIS 2003, Proceedings. ed. / Ning Zhong; Zbigniew W. Ras; Shusaku Tsumoto; Einoshin Suzuki. Springer Verlag, 2003. p. 478-485 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2871).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, D & Deogun, J 2003, Spatio-temporal association mining for un-sampled sites. in N Zhong, ZW Ras, S Tsumoto & E Suzuki (eds), Foundations of Intelligent Systems - 14th International Symposium, ISMIS 2003, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2871, Springer Verlag, pp. 478-485, 14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003, Maebashi City, Japan, 10/28/03. https://doi.org/10.1007/978-3-540-39592-8_68

Li D, Deogun J. Spatio-temporal association mining for un-sampled sites. In Zhong N, Ras ZW, Tsumoto S, Suzuki E, editors, Foundations of Intelligent Systems - 14th International Symposium, ISMIS 2003, Proceedings. Springer Verlag. 2003. p. 478-485. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-39592-8_68

Li, Dan ; Deogun, Jitender. / Spatio-temporal association mining for un-sampled sites. Foundations of Intelligent Systems - 14th International Symposium, ISMIS 2003, Proceedings. editor / Ning Zhong ; Zbigniew W. Ras ; Shusaku Tsumoto ; Einoshin Suzuki. Springer Verlag, 2003. pp. 478-485 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Spatio-temporal association mining for un-sampled sites

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