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Computers in Industry
Article . 2004 . Peer-reviewed
License: Elsevier TDM
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Article . 2004
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Article . 2004
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DBLP
Article . 2004
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Business Process Intelligence

Authors: D. Grigori; Casati, Fabio; M. Castellanos; M. Shan; U. Dayal; M. Sayal;

Business Process Intelligence

Abstract

Business Process Management Systems (BPMSs) are software platforms that support the definition, execution, and tracking of business processes. BPMSs have the ability of logging information about the business processes they support. Proper analysis of BPMS execution logs can yield important knowledge and help organizations improve the quality of their business processes and services to their business partners. This paper presents a set of integrated tools that supports business and IT users in managing process execution quality by providing several features, such as analysis, prediction, monitoring, control, and optimization. We refer to this set of tools as the Business Process Intelligence (BPI) tool suite. Experimental results presented in this paper are very encouraging. We plan to investigate further enhancements on the BPI tools suite, including automated exception prevention, and refinement of process data preparation stage, as well as integrating other data mining techniques.

Countries
Italy, France
Keywords

[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], 000, [INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE], [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], 651.8, Business Process Intelligence, Process execution analysis and prediction, 004, Workflow mining, Data warehouse, Systèmes d'information, [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    320
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 0.1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
320
Top 1%
Top 0.1%
Top 1%
bronze