Data-Driven Process Discovery and Analysis
Springer Berlin (Verlag)
978-3-642-34043-7 (ISBN)
Ernesto Damiani is a professor at the Department of Information Technology of the University of Milan. He is the Vice-Chair of the ACM Special Interest Group on Applied Computing (SIGAPP).
Towards Distributed Collaborative Workflow Management for Mobile Devices.- Monitoring Business Processes in the Networked Enterprise.- Towards Improving the Representational Bias of Process Mining.- MailOfMine - Analyzing Mail Messages for Mining Artful Collaborative Processes.- BowlognaBench-Benchmarking RDF Analytics.- Towards Evaluating an Ontology-Based Data Matching Strategy forRetrieval and Recommendation of Security Annotations for Business Process Models.- FP-Growth in Discovery of Customer Patterns.- Case Study in Process Mining in a Multinational Enterprise.- Discovering Workflow Changes with Time-Based Trace Clustering.- Striving for Object-Aware Process Support: How Existing Approaches Fit Together.- Scrum Conceptualization Using K-CRIO Ontology.
Erscheint lt. Verlag | 27.9.2012 |
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Reihe/Serie | Lecture Notes in Business Information Processing |
Zusatzinfo | X, 213 p. 82 illus. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 349 g |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
Schlagworte | BPM • Business Intelligence • business process management • Data Mining • Data Warehousing • Datenverarbeitung • Process analysis • Process Mining • Workflow Management |
ISBN-10 | 3-642-34043-1 / 3642340431 |
ISBN-13 | 978-3-642-34043-7 / 9783642340437 |
Zustand | Neuware |
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