Lecture Notes in Business Information Processing - Data-Driven Process Discovery and Analysis
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Published By Springer International Publishing

9783030466329, 9783030466336

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Standardizing Process-Data Exploitation by Means of a Process-Instance Metamodel

Lecture Notes in Business Information Processing - Data-Driven Process Discovery and Analysis ◽

10.1007/978-3-030-46633-6_3 ◽

2020 ◽

pp. 52-66

Author(s):

Antonio Cancela ◽

Antonia M. Reina Quintero ◽

María Teresa Gómez-López ◽

Alejandro García-García

Keyword(s):

Process Data ◽

Process Instance

Extracting Multiple Viewpoint Models from Relational Databases

Lecture Notes in Business Information Processing - Data-Driven Process Discovery and Analysis ◽

10.1007/978-3-030-46633-6_2 ◽

2020 ◽

pp. 24-51

Author(s):

Alessandro Berti ◽

Wil van der Aalst

Keyword(s):

Relational Databases

General Model for Tracking Manufacturing Products Using Graph Databases

Lecture Notes in Business Information Processing - Data-Driven Process Discovery and Analysis ◽

10.1007/978-3-030-46633-6_5 ◽

2020 ◽

pp. 86-100

Author(s):

Jorge Martinez-Gil ◽

Reinhard Stumptner ◽

Christian Lettner ◽

Mario Pichler ◽

Salma Mahmoud ◽

...

Keyword(s):

General Model ◽

Graph Databases

Designing Process-Centric Blockchain-Based Architectures: A Case Study in e-voting as a Service

Lecture Notes in Business Information Processing - Data-Driven Process Discovery and Analysis ◽

10.1007/978-3-030-46633-6_1 ◽

2020 ◽

pp. 1-23

Author(s):

Emanuele Bellini ◽

Paolo Ceravolo ◽

Alessandro Bellini ◽

Ernesto Damiani

Exploiting Event Log Event Attributes in RNN Based Prediction

Lecture Notes in Business Information Processing - Data-Driven Process Discovery and Analysis ◽

10.1007/978-3-030-46633-6_4 ◽

2020 ◽

pp. 67-85

Author(s):

Markku Hinkka ◽

Teemu Lehto ◽

Keijo Heljanko

Keyword(s):

Event Log

Supporting Confidentiality in Process Mining Using Abstraction and Encryption

Lecture Notes in Business Information Processing - Data-Driven Process Discovery and Analysis ◽

10.1007/978-3-030-46633-6_6 ◽

2020 ◽

pp. 101-123 ◽

Cited By ~ 2

Author(s):

Majid Rafiei ◽

Leopold von Waldthausen ◽

Wil M. P. van der Aalst

Keyword(s):

Process Mining

Lecture Notes in Business Information Processing - Data-Driven Process Discovery and AnalysisLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Standardizing Process-Data Exploitation by Means of a Process-Instance Metamodel

Extracting Multiple Viewpoint Models from Relational Databases

General Model for Tracking Manufacturing Products Using Graph Databases

Designing Process-Centric Blockchain-Based Architectures: A Case Study in e-voting as a Service

Exploiting Event Log Event Attributes in RNN Based Prediction

Supporting Confidentiality in Process Mining Using Abstraction and Encryption

Lecture Notes in Business Information Processing - Data-Driven Process Discovery and Analysis
Latest Publications