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Prescriptive Analytics for Recommendation-Based Business Process Optimization · Study

WorkPrescriptive Analytics for Recommendation-Based Business Process Optimization

Christoph Gröger2014

Work2014

Prescriptive Analytics for Recommendation-Based Business Process Optimization

Christoph Gröger · Holger Schwarz · Bernhard Mitschang

76 citations·0/0 files stored·Lecture notes in business information processing

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Business Process Modeling and Analysis Big Data and Business Intelligence Impact of AI and Big Data on Business and Society

Abstract

No abstract was published for this record.

Citations in this library

Stored only when both papers are in the corpus — 76 citations exist upstream.

References

2000management information system 2003Business Process Intelligence 2010Time prediction based on process mining 2010Handbook on Business Process Management 1 2008Supporting Flexible Processes through Recommendations Based on History 2010Beyond Process Mining: From the Past to Present and Future 2014Business Process Analytics 2004Aligning Process Automation and Business Intelligence to Support Corporate Performance Management

Cited by

2019Prescriptive analytics: a survey of emerging trends and technologies 2020Prescriptive Business Process Monitoring for Recommending Next Best Actions 2022Prescriptive process monitoring: Quo vadis ?2020A survey on various applications of prescriptive analytics 2021Fire now, fire later: alarm-based systems for prescriptive process monitoring 2018Alarm-Based Prescriptive Process Monitoring 2022Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach 2019Prescriptive Analytics: A Survey of Approaches and Methods

Details

Year2014

Typeother

Published2014-01-01

VenueLecture notes in business information processing

ISSN-L1865-1348

Languageen

Citations76

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

Identifiers

doi10.1007/978-3-319-06695-0_3

openalex_workW148076032

Links

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