A novel statistical time-series pattern based interval forecasting strategy for activity durations in workflow systems

Liu, Xiao, Ni, Zhiwei, Yuan, Dong, Jiang, Yuanchun, Wu, Zhangjun, Chen, Jinjun and Yang, Yun 2011, A novel statistical time-series pattern based interval forecasting strategy for activity durations in workflow systems, Journal of systems and software, vol. 84, no. 3, pp. 354-376, doi: 10.1016/j.jss.2010.11.927.

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Title A novel statistical time-series pattern based interval forecasting strategy for activity durations in workflow systems
Author(s) Liu, XiaoORCID iD for Liu, Xiao orcid.org/0000-0001-8400-5754
Ni, Zhiwei
Yuan, Dong
Jiang, Yuanchun
Wu, Zhangjun
Chen, Jinjun
Yang, Yun
Journal name Journal of systems and software
Volume number 84
Issue number 3
Start page 354
End page 376
Total pages 23
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2011-03
ISSN 0164-1212
Keyword(s) Workflow system
Activity duration
Interval forecasting
Statistical time series
Time-series patterns
Science & Technology
Technology
Computer Science, Software Engineering
Computer Science, Theory & Methods
Computer Science
GRID ENVIRONMENTS
SPECIFICATIONS
VERIFICATION
CONSTRAINTS
TAXONOMY
SWINDEW
Language eng
DOI 10.1016/j.jss.2010.11.927
Field of Research 0806 Information Systems
Socio Economic Objective 0 Not Applicable
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2010, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30087704

Document type: Journal Article
Collections: School of Information Technology
2018 ERA Submission
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