I/O Associations in Scientific Software: A Study of SWMM

Zedong Peng; Xuanyi Lin; Nan Niu; Omar I. Abdul-Aziz

doi:10.1007/978-3-030-77980-1_29

I/O Associations in Scientific Software: A Study of SWMM

Zedong Peng, Xuanyi Lin, Nan Niu, Omar I. Abdul-Aziz

West Virginia University

Research output: Chapter or Contribution to Book › Literary contribution

Original language	English
Title of host publication	Computational Science – ICCS 2021 - 21st International Conference, Proceedings
Editors	Maciej Paszynski, Dieter Kranzlmüller, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. Sloot, Peter M. Sloot, Peter M. Sloot
Pages	375-389
Number of pages	15
DOIs	https://doi.org/10.1007/978-3-030-77980-1_29
State	Published - 2021
Externally published	Yes
Event	21st International Conference on Computational Science, ICCS 2021 - Virtual, Online Duration: Jun 16 2021 → Jun 18 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12747 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21st International Conference on Computational Science, ICCS 2021
City	Virtual, Online
Period	6/16/21 → 6/18/21

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Association rule mining
Scientific software
Storm Water Management Model (SWMM)
User forum
User manual

Access to Document

10.1007/978-3-030-77980-1_29

Cite this

Peng, Z., Lin, X., Niu, N., & Abdul-Aziz, O. I. (2021). I/O Associations in Scientific Software: A Study of SWMM. In M. Paszynski, D. Kranzlmüller, D. Kranzlmüller, V. V. Krzhizhanovskaya, J. J. Dongarra, P. M. Sloot, P. M. Sloot, & P. M. Sloot (Eds.), Computational Science – ICCS 2021 - 21st International Conference, Proceedings (pp. 375-389). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12747 LNCS). https://doi.org/10.1007/978-3-030-77980-1_29

I/O Associations in Scientific Software: A Study of SWMM. / Peng, Zedong; Lin, Xuanyi; Niu, Nan et al.
Computational Science – ICCS 2021 - 21st International Conference, Proceedings. ed. / Maciej Paszynski; Dieter Kranzlmüller; Dieter Kranzlmüller; Valeria V. Krzhizhanovskaya; Jack J. Dongarra; Peter M. Sloot; Peter M. Sloot; Peter M. Sloot. 2021. p. 375-389 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12747 LNCS).

Research output: Chapter or Contribution to Book › Literary contribution

Peng, Z, Lin, X, Niu, N & Abdul-Aziz, OI 2021, I/O Associations in Scientific Software: A Study of SWMM. in M Paszynski, D Kranzlmüller, D Kranzlmüller, VV Krzhizhanovskaya, JJ Dongarra, PM Sloot, PM Sloot & PM Sloot (eds), Computational Science – ICCS 2021 - 21st International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12747 LNCS, pp. 375-389, 21st International Conference on Computational Science, ICCS 2021, Virtual, Online, 6/16/21. https://doi.org/10.1007/978-3-030-77980-1_29

Peng Z, Lin X, Niu N, Abdul-Aziz OI. I/O Associations in Scientific Software: A Study of SWMM. In Paszynski M, Kranzlmüller D, Kranzlmüller D, Krzhizhanovskaya VV, Dongarra JJ, Sloot PM, Sloot PM, Sloot PM, editors, Computational Science – ICCS 2021 - 21st International Conference, Proceedings. 2021. p. 375-389. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-77980-1_29

Peng, Zedong ; Lin, Xuanyi ; Niu, Nan et al. / I/O Associations in Scientific Software : A Study of SWMM. Computational Science – ICCS 2021 - 21st International Conference, Proceedings. editor / Maciej Paszynski ; Dieter Kranzlmüller ; Dieter Kranzlmüller ; Valeria V. Krzhizhanovskaya ; Jack J. Dongarra ; Peter M. Sloot ; Peter M. Sloot ; Peter M. Sloot. 2021. pp. 375-389 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "I/O Associations in Scientific Software: A Study of SWMM",

keywords = "Association rule mining, Scientific software, Storm Water Management Model (SWMM), User forum, User manual",

author = "Zedong Peng and Xuanyi Lin and Nan Niu and Abdul-Aziz, \{Omar I.\}",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 21st International Conference on Computational Science, ICCS 2021 ; Conference date: 16-06-2021 Through 18-06-2021",

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I/O Associations in Scientific Software: A Study of SWMM

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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