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Constructing Decision Trees from Process Logs for Performer Recommendation · Study

WorkConstructing Decision Trees from Process Logs for Performer Recommendation

Ae-Kyung Kim2014

Work2014

Constructing Decision Trees from Process Logs for Performer Recommendation

Ae-Kyung Kim · Josue Obregon · Jae‐Yoon Jung

31 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 Data Mining Algorithms and Applications

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References

2011Process Mining 2011Process Mining: Discovery, Conformance and Enhancement of Business Processes 2005The ProM Framework: A New Era in Process Mining Tool Support 2006Business process mining: An industrial application 2003Business Process Intelligence 2010Time prediction based on process mining 2009ProM : the process mining toolkit 2008Supporting Flexible Processes through Recommendations Based on History

Cited by

2018Towards a Taxonomy of Human Resource Allocation Criteria 2015Designing and Evaluating an Interpretable Predictive Modeling Technique for Business Processes 2017Decision Mining in a Broader Context: An Overview of the Current Landscape and Future Directions 2017A Multi-criteria Approach for Team Recommendation 2022Process Mining: A Guide for Practitioners 2015Next step recommendation and prediction based on process mining in adaptive case management

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2013A markov prediction model for data-driven semi-structured business processesarticle · 6 shared references 2015Leveraging path information to generate predictions for parallel business processesarticle · 6 shared references 2014Data-aware remaining time prediction of business process instancesother · 5 shared references 2014Process Mining in the Large: A Tutorialother · 5 shared references 2011Real‐time business process monitoring using formal concept analysisarticle · 5 shared references 2012Process Miningarticle · 4 shared references

Details

Year2014

Typeother

Published2014-01-01

VenueLecture notes in business information processing

ISSN-L1865-1348

Languageen

Citations31

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-319-06257-0_18

openalex_workW78500280

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