The Resource Data-driven process discovery and analysis : 4th International Symposium, SIMPDA 2014, Milan, Italy, August 30, 2013, Revised selected papers, Paolo Ceravolo, Barbara Russo, Rafael Accorsi (eds.)

Data-driven process discovery and analysis : 4th International Symposium, SIMPDA 2014, Milan, Italy, August 30, 2013, Revised selected papers, Paolo Ceravolo, Barbara Russo, Rafael Accorsi (eds.)

Label
Data-driven process discovery and analysis : 4th International Symposium, SIMPDA 2014, Milan, Italy, August 30, 2013, Revised selected papers
Title
Data-driven process discovery and analysis
Title remainder
4th International Symposium, SIMPDA 2014, Milan, Italy, August 30, 2013, Revised selected papers
Statement of responsibility
Paolo Ceravolo, Barbara Russo, Rafael Accorsi (eds.)
Title variation
SIMPDA 2014
Creator
Contributor
Editor
Subject
Genre
Language
eng
Summary
This book constitutes the thoroughly refereed proceedings of the Fourth International Symposium on Data-Driven Process Discovery and Analysis held in Riva del Milan, Italy, in November 2014. The five revised full papers were carefully selected from 21 submissions. Following the event, authors were given the opportunity to improve their papers with the insights they gained from the symposium. During this edition, the presentations and discussions frequently focused on the implementation of process mining algorithms in contexts where the analytical process is fed by data streams. The selected papers underline the most relevant challenges identified and propose novel solutions and approaches for their solution
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
2014
http://bibfra.me/vocab/lite/meetingName
SIMPDA (Symposium)
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorDate
1968-
http://library.link/vocab/relatedWorkOrContributorName
  • Ceravolo, Paolo
  • Russo, Barbara
  • Accorsi, Rafael
Series statement
Lecture notes in business information processing,
Series volume
237
http://library.link/vocab/subjectName
  • Data mining
  • Management information systems
  • Business
  • Business
  • Data mining
  • Management information systems
  • Business & Economics
  • Computers
  • Computers
  • Business mathematics & systems
  • Information retrieval
  • Public administration
  • Computers
  • Data mining
Label
Data-driven process discovery and analysis : 4th International Symposium, SIMPDA 2014, Milan, Italy, August 30, 2013, Revised selected papers, Paolo Ceravolo, Barbara Russo, Rafael Accorsi (eds.)
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-27243-6
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
Discovery of Frequent Episodes in Event Logs -- Finding Suitable Activity Clusters for Decomposed Process Discovery -- History-based Construction of Alignments for Conformance Checking: Formalization and Implementation? -- Dynamic Constructs Competition Miner -- Occurrence vs. Time-based Ageing -- Trustworthy Cloud Certification: A Model-Based Approach
Dimensions
unknown
Extent
1 online resource (viii, 123 pages)
File format
unknown
Form of item
online
Isbn
9783319272436
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-27243-6
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)932129301
  • (OCoLC)ocn932129301
Label
Data-driven process discovery and analysis : 4th International Symposium, SIMPDA 2014, Milan, Italy, August 30, 2013, Revised selected papers, Paolo Ceravolo, Barbara Russo, Rafael Accorsi (eds.)
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-27243-6
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
Discovery of Frequent Episodes in Event Logs -- Finding Suitable Activity Clusters for Decomposed Process Discovery -- History-based Construction of Alignments for Conformance Checking: Formalization and Implementation? -- Dynamic Constructs Competition Miner -- Occurrence vs. Time-based Ageing -- Trustworthy Cloud Certification: A Model-Based Approach
Dimensions
unknown
Extent
1 online resource (viii, 123 pages)
File format
unknown
Form of item
online
Isbn
9783319272436
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-27243-6
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)932129301
  • (OCoLC)ocn932129301

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