Data-Driven Process Discovery and Analysis 7th IFIP WG 2.6 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 6-8, 2017, Revised Selected Papers /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ceravolo, Paolo (Editor, http://id.loc.gov/vocabulary/relators/edt), van Keulen, Maurice (Editor, http://id.loc.gov/vocabulary/relators/edt), Stoffel, Kilian (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Lecture Notes in Business Information Processing, 340
• Subjects: Data mining.; Management information systems.; Industrial management.; Application software.; Data Mining and Knowledge Discovery.; Business Process Management.; Information Systems Applications (incl. Internet).; Computer Appl. in Administrative Data Processing.
• Physical Description: IX, 129 p. 70 illus., 20 illus. in color. online resource.
• ISBN: 9783030116385
• ISSN: 1865-1348 ;
• DOI: 10.1007/978-3-030-11638-5

This book constitutes the revised selected papers from the 7th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2017, held in Neuchatel, Switzerland, in December 2017. The 6 papers presented in this volume were carefully reviewed and selected from 19 submissions. They cover theoretical issues related to process representation, discovery, and analysis or provide practical and operational examples of their application.