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Discovering Queues from Event Logs with Varying Levels of Information · Study

WorkDiscovering Queues from Event Logs with Varying Levels of Information

Arik Senderovich2016

Work2016

Discovering Queues from Event Logs with Varying Levels of Information

Arik Senderovich · Sander J. J. Leemans · Shahar Harel · Avigdor Gal · Avishai Mandelbaum · Wil M. P. van der Aalst

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

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Business Process Modeling and Analysis Simulation Techniques and Applications Software System Performance and Reliability

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References

2011Process Mining 2011Process Mining: Discovery, Conformance and Enhancement of Business Processes 2013Discovering Block-Structured Process Models from Event Logs - A Constructive Approach 2014Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour 1962On Queues in Heavy Traffic 2014Aligning observed and modeled behavior 2012A genetic algorithm for discovering process trees 2015Queue mining for delay prediction in multi-class service processes

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2017Temporal Network Representation of Event Logs for Improved Performance Modelling in Business Processes

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2015Extracting Event Data from Databases to Unleash Process Miningchapter · 5 shared references 2015Scalable Process Discovery with Guaranteesother · 5 shared references 2015Exploring Processes and Deviationsother · 5 shared references 2016In Log and Model We Trust? A Generalized Conformance Checking Frameworkother · 5 shared references 2014Constructs Competition Miner: Process Control-Flow Discovery of BP-Domain Constructsother · 5 shared references 2016Scalable process discovery and conformance checkingarticle · 4 shared references

Details

Year2016

Typeother

Published2016-01-01

VenueLecture notes in business information processing

ISSN-L1865-1348

Languageen

Citations28

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-319-42887-1_13

openalex_workW2492991802

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