Time prediction on multi-perspective declarative business processes.
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| Title: | Time prediction on multi-perspective declarative business processes. |
|---|---|
| Authors: | Jimenez-Ramirez, Andres1 ajramirez@us.es, Barba, Irene1, Fernandez-Olivares, Juan2, Del Valle, Carmelo1, Weber, Barbara3 |
| Source: | Knowledge & Information Systems. Dec2018, Vol. 57 Issue 3, p655-684. 30p. |
| Subjects: | Information storage & retrieval systems, Declarative programming languages, Constraint programming, Prediction theory, Decision support systems |
| Abstract: | Process-aware information systems (PAISs) are increasingly used to provide flexible support for business processes. The support given through a PAIS is greatly enhanced when it is able to provide accurate time predictions which is typically a very challenging task. Predictions should be (1) multi-dimensional and (2) not based on a single process instance. Furthermore, the prediction system should be able to (3) adapt to changing circumstances and (4) deal with multi-perspective declarative languages (e.g., models which consider time, resource, data and control flow perspectives). In this work, a novel approach for generating time predictions considering the aforementioned characteristics is proposed. For this, first, a multi-perspective constraint-based language is used to model the scenario. Thereafter, an optimized enactment plan (representing a potential execution alternative) is generated from such a model considering the current execution state of the process instances. Finally, predictions are performed by evaluating a desired function over this enactment plan. To evaluate the applicability of our approach in practical settings we apply it to a real process scenario. Despite the high complexity of the considered problems, results indicate that our approach produces a satisfactory number of good predictions in a reasonable time. [ABSTRACT FROM AUTHOR] |
| Copyright of Knowledge & Information Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 131641197 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Time prediction on multi-perspective declarative business processes. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jimenez-Ramirez%2C+Andres%22">Jimenez-Ramirez, Andres</searchLink><relatesTo>1</relatesTo><i> ajramirez@us.es</i><br /><searchLink fieldCode="AR" term="%22Barba%2C+Irene%22">Barba, Irene</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Fernandez-Olivares%2C+Juan%22">Fernandez-Olivares, Juan</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Del+Valle%2C+Carmelo%22">Del Valle, Carmelo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Weber%2C+Barbara%22">Weber, Barbara</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Knowledge+%26+Information+Systems%22">Knowledge & Information Systems</searchLink>. Dec2018, Vol. 57 Issue 3, p655-684. 30p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Information+storage+%26+retrieval+systems%22">Information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Declarative+programming+languages%22">Declarative programming languages</searchLink><br /><searchLink fieldCode="DE" term="%22Constraint+programming%22">Constraint programming</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+theory%22">Prediction theory</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+support+systems%22">Decision support systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Process-aware information systems (PAISs) are increasingly used to provide flexible support for business processes. The support given through a PAIS is greatly enhanced when it is able to provide accurate time predictions which is typically a very challenging task. Predictions should be (1) multi-dimensional and (2) not based on a single process instance. Furthermore, the prediction system should be able to (3) adapt to changing circumstances and (4) deal with multi-perspective declarative languages (e.g., models which consider time, resource, data and control flow perspectives). In this work, a novel approach for generating time predictions considering the aforementioned characteristics is proposed. For this, first, a multi-perspective constraint-based language is used to model the scenario. Thereafter, an optimized enactment plan (representing a potential execution alternative) is generated from such a model considering the current execution state of the process instances. Finally, predictions are performed by evaluating a desired function over this enactment plan. To evaluate the applicability of our approach in practical settings we apply it to a real process scenario. Despite the high complexity of the considered problems, results indicate that our approach produces a satisfactory number of good predictions in a reasonable time. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Knowledge & Information Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10115-018-1180-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 30 StartPage: 655 Subjects: – SubjectFull: Information storage & retrieval systems Type: general – SubjectFull: Declarative programming languages Type: general – SubjectFull: Constraint programming Type: general – SubjectFull: Prediction theory Type: general – SubjectFull: Decision support systems Type: general Titles: – TitleFull: Time prediction on multi-perspective declarative business processes. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jimenez-Ramirez, Andres – PersonEntity: Name: NameFull: Barba, Irene – PersonEntity: Name: NameFull: Fernandez-Olivares, Juan – PersonEntity: Name: NameFull: Del Valle, Carmelo – PersonEntity: Name: NameFull: Weber, Barbara IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 02191377 Numbering: – Type: volume Value: 57 – Type: issue Value: 3 Titles: – TitleFull: Knowledge & Information Systems Type: main |
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