Data-Driven Process Discovery and Analysis - 6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Graz, Austria, December 15-16, 2016, Revised Selected Papers

This book constitutes the revised selected papers from the 6th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2016, held in Graz, Austria in December 2016.
The 5 papers presented in this volume were carefully reviewed and selected from 18 submissions. In this edition, the presentations focused on the adoption of process mining algorithms for continuous monitoring of business process. They underline the most relevant challenges identified and propose novel solutions for their resolution.

List of contents

Model and Event Log Reductions to Boost the Computation of Alignments.- Translating BPMN to Business Rules.- Execution-based Model Profiling.- DB-XES: Enabling Process Discovery in the Large.- Extracting Service Process Models from Location Data.

Summary

This book constitutes the revised selected papers from the 6th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2016, held in Graz, Austria in December 2016.
The 5 papers presented in this volume were carefully reviewed and selected from 18 submissions. In this edition, the presentations focused on the adoption of process mining algorithms for continuous monitoring of business process. They underline the most relevant challenges identified and propose novel solutions for their resolution.

Product details

• Assisted by: Paolo Ceravolo (Editor), Christia Guetl (Editor), Christian Guetl (Editor), Stefanie Rinderle-Ma (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2018
• EAN: 9783319741604
• ISBN: 978-3-31-974160-4
• No. of pages: 97
• Dimensions: 156 mm x 8 mm x 236 mm
• Weight: 178 g
• Illustrations: IX, 97 p. 46 illus.
• Series: Lecture Notes in Business Information Processing; Lecture Notes in Business Information Processing
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; C, Data Mining, computer science, Information Retrieval, Business Process Management, Public Administration, Information Systems Applications (incl. Internet), Computer and Information Systems Applications, Application software, Data Mining and Knowledge Discovery, Management information systems, Business mathematics & systems, Information technology: general issues, Industrial Management, Internet searching, Expert systems / knowledge-based systems, Computer Appl. in Administrative Data Processing, Computer Application in Administrative Data Processing