Business Process Management Workshops - Lecture Notes in Business Information Processing
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(FIVE YEARS 28)

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Published By Springer International Publishing

9783030664978, 9783030664985

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Evaluation of Heuristics for Product Data Models

Business Process Management Workshops - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-66498-5_26 ◽

2020 ◽

pp. 355-366

Author(s):

Konstantinos Varvoutas ◽

Anastasios Gounaris

Keyword(s):

Data Models ◽

Product Data

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A Classification of Digital-Oriented Work Practices

Business Process Management Workshops - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-66498-5_4 ◽

2020 ◽

pp. 49-59

Author(s):

Pooria Jafari ◽

Amy Van Looy

Keyword(s):

Work Practices

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Process Outcome Prediction: CNN vs. LSTM (with Attention)

Business Process Management Workshops - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-66498-5_24 ◽

2020 ◽

pp. 321-333

Author(s):

Hans Weytjens ◽

Jochen De Weerdt

Keyword(s):

Outcome Prediction

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Prototype Selection Using Clustering and Conformance Metrics for Process Discovery

Business Process Management Workshops - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-66498-5_21 ◽

2020 ◽

pp. 281-294

Author(s):

Mohammadreza Fani Sani ◽

Mathilde Boltenhagen ◽

Wil van der Aalst

Keyword(s):

Prototype Selection ◽

Process Discovery

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Unsupervised Contextual State Representation for Improved Business Process Models

Business Process Management Workshops - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-66498-5_11 ◽

2020 ◽

pp. 142-154

Author(s):

Prerna Agarwal ◽

Daivik Swarup ◽

Sushruth Prasannakumar ◽

Sampath Dechu ◽

Monika Gupta

Keyword(s):

Business Process ◽

Process Models ◽

State Representation ◽

Business Process Models

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On the Complexity of Resource Controllability in Business Process Management

Business Process Management Workshops - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-66498-5_13 ◽

2020 ◽

pp. 168-180

Author(s):

Matteo Zavatteri ◽

Romeo Rizzi ◽

Tiziano Villa

Keyword(s):

Business Process ◽

Business Process Management ◽

Process Management

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Using Physical Factory Simulation Models for Business Process Management Research

Business Process Management Workshops - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-66498-5_8 ◽

2020 ◽

pp. 95-107

Author(s):

Lukas Malburg ◽

Ronny Seiger ◽

Ralph Bergmann ◽

Barbara Weber

Keyword(s):

Business Process ◽

Business Process Management ◽

Process Management ◽

Simulation Models ◽

Management Research

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XNAP: Making LSTM-Based Next Activity Predictions Explainable by Using LRP

Business Process Management Workshops - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-66498-5_10 ◽

2020 ◽

pp. 129-141

Author(s):

Sven Weinzierl ◽

Sandra Zilker ◽

Jens Brunk ◽

Kate Revoredo ◽

Martin Matzner ◽

...

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Data Minimisation as Privacy and Trust Instrument in Business Processes

Business Process Management Workshops - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-66498-5_2 ◽

2020 ◽

pp. 17-29

Author(s):

Rashid Zaman ◽

Marwan Hassani ◽

Boudewijn F. van Dongen

Keyword(s):

Business Processes

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Automated Business Process Discovery from Unstructured Natural-Language Documents

Business Process Management Workshops - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-66498-5_18 ◽

2020 ◽

pp. 232-243

Author(s):

Alexander J. Chambers ◽

Amy M. Stringfellow ◽

Ben B. Luo ◽

Sophie J. Underwood ◽

Tony G. Allard ◽

...

Keyword(s):

Natural Language ◽

Business Process ◽

Process Discovery

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Business Process Management Workshops - Lecture Notes in Business Information ProcessingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Evaluation of Heuristics for Product Data Models

A Classification of Digital-Oriented Work Practices

Process Outcome Prediction: CNN vs. LSTM (with Attention)

Prototype Selection Using Clustering and Conformance Metrics for Process Discovery

Unsupervised Contextual State Representation for Improved Business Process Models

On the Complexity of Resource Controllability in Business Process Management

Using Physical Factory Simulation Models for Business Process Management Research

XNAP: Making LSTM-Based Next Activity Predictions Explainable by Using LRP

Data Minimisation as Privacy and Trust Instrument in Business Processes

Automated Business Process Discovery from Unstructured Natural-Language Documents

Business Process Management Workshops - Lecture Notes in Business Information Processing
Latest Publications