Coverart for item
The Resource Data-driven process discovery and analysis : 5th International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised selected papers, Paolo Ceravolo, Stefanie Rinderle-Ma (eds.)

Data-driven process discovery and analysis : 5th International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised selected papers, Paolo Ceravolo, Stefanie Rinderle-Ma (eds.)

Label
Data-driven process discovery and analysis : 5th International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised selected papers
Title
Data-driven process discovery and analysis
Title remainder
5th International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised selected papers
Statement of responsibility
Paolo Ceravolo, Stefanie Rinderle-Ma (eds.)
Title variation
SIMPDA 2015
Creator
Contributor
Editor
Subject
Genre
Language
eng
Summary
This book constitutes the revised selected papers from the 5th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2015, held in Vienna, Austria in December 2015. The 8 papers presented in this volume were carefully reviewed and selected from 22 submissions. They cover theoretical issues related to process representation, discovery and analysis, or provide practical and operational experiences in process discovery and analysis. They focus mainly on the adoption of process mining algorithms in conjunction and coordination with other techniques and methodologies.
Member of
Cataloging source
GW5XE
Dewey number
006.3/12
Illustrations
illustrations
Index
index present
LC call number
QA76.9.D343
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2015
http://bibfra.me/vocab/lite/meetingName
SIMPDA (Symposium)
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Ceravolo, Paolo
  • Rinderle-Ma, Stefanie
Series statement
Lecture notes in business information processing,
Series volume
244
http://library.link/vocab/subjectName
  • Data mining
  • Management information systems
  • Business
Label
Data-driven process discovery and analysis : 5th International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised selected papers, Paolo Ceravolo, Stefanie Rinderle-Ma (eds.)
Instantiates
Publication
Note
Includes author index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
A Framework for Safety-critical Process Management in Engineering Projects -- Business Process Reporting Using Process Mining, Analytic Workflows and Process Cubes: A Case Study in Education -- Detecting Changes in Process Behavior Using Comparative Case Clustering -- -- Using Domain Knowledge to Enhance Process Mining Results -- -- Aligning Process Model Terminology with Hypernym Relations -- Time Series Petri Net Models: Enrichment and Prediction -- Visual Analytics Meets Process Mining: Challenges and Opportunities -- A Relational Data Warehouse for Multidimensional Process Mining.
Dimensions
unknown
Extent
1 online resource (ix, 185 pages)
File format
unknown
Form of item
online
Isbn
9783319534350
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
ocn971244762
Label
Data-driven process discovery and analysis : 5th International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised selected papers, Paolo Ceravolo, Stefanie Rinderle-Ma (eds.)
Publication
Note
Includes author index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
A Framework for Safety-critical Process Management in Engineering Projects -- Business Process Reporting Using Process Mining, Analytic Workflows and Process Cubes: A Case Study in Education -- Detecting Changes in Process Behavior Using Comparative Case Clustering -- -- Using Domain Knowledge to Enhance Process Mining Results -- -- Aligning Process Model Terminology with Hypernym Relations -- Time Series Petri Net Models: Enrichment and Prediction -- Visual Analytics Meets Process Mining: Challenges and Opportunities -- A Relational Data Warehouse for Multidimensional Process Mining.
Dimensions
unknown
Extent
1 online resource (ix, 185 pages)
File format
unknown
Form of item
online
Isbn
9783319534350
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
ocn971244762

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