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

9783642409189, 9783642409196

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Improving Business Process Models Using Observed Behavior

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

10.1007/978-3-642-40919-6_3 ◽

2013 ◽

pp. 44-59 ◽

Cited By ~ 15

Author(s):

J. C. A. M. Buijs ◽

M. La Rosa ◽

H. A. Reijers ◽

B. F. van Dongen ◽

W. M. P. van der Aalst

Keyword(s):

Business Process ◽

Process Models ◽

Business Process Models ◽

Observed Behavior

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Combination of Process Mining and Simulation Techniques for Business Process Redesign: A Methodological Approach

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

10.1007/978-3-642-40919-6_2 ◽

2013 ◽

pp. 24-43 ◽

Cited By ~ 10

Author(s):

Santiago Aguirre ◽

Carlos Parra ◽

Jorge Alvarado

Keyword(s):

Business Process ◽

Process Mining ◽

Methodological Approach ◽

Business Process Redesign ◽

Process Redesign ◽

Simulation Techniques

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A Lightweight RDF Data Model for Business Process Analysis

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

10.1007/978-3-642-40919-6_1 ◽

2013 ◽

pp. 1-23 ◽

Cited By ~ 5

Author(s):

Marcello Leida ◽

Basim Majeed ◽

Maurizio Colombo ◽

Andrej Chu

Keyword(s):

Business Process ◽

Data Model ◽

Process Analysis ◽

Business Process Analysis ◽

Rdf Data

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Managing Structural and Textual Quality of Business Process Models

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

10.1007/978-3-642-40919-6_6 ◽

2013 ◽

pp. 100-111 ◽

Cited By ~ 4

Author(s):

Jan Mendling

Keyword(s):

Business Process ◽

Process Models ◽

Business Process Models

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Process Prediction in Noisy Data Sets: A Case Study in a Dutch Hospital

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

10.1007/978-3-642-40919-6_4 ◽

2013 ◽

pp. 60-83 ◽

Cited By ~ 15

Author(s):

Sjoerd van der Spoel ◽

Maurice van Keulen ◽

Chintan Amrit

Keyword(s):

Noisy Data ◽

Data Sets ◽

Dutch Hospital ◽

Process Prediction

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Towards Automatic Capturing of Semi-structured Process Provenance

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

10.1007/978-3-642-40919-6_5 ◽

2013 ◽

pp. 84-99

Author(s):

Andreas Wombacher ◽

Mohammad Rezwanul Huq

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Improving Business Process Models Using Observed Behavior

Combination of Process Mining and Simulation Techniques for Business Process Redesign: A Methodological Approach

A Lightweight RDF Data Model for Business Process Analysis

Managing Structural and Textual Quality of Business Process Models

Process Prediction in Noisy Data Sets: A Case Study in a Dutch Hospital

Towards Automatic Capturing of Semi-structured Process Provenance

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