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

Paolo Ceravolo (Editor), Maurice van Keulen (Editor), Kilian Stoffel (Editor)

Research output: Book/ReportBook editingAcademic

Abstract

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.
Original languageEnglish
PublisherSpringer
Number of pages129
ISBN (Electronic)978-3-030-11638-5
ISBN (Print)978-3-030-11637-8
DOIs
Publication statusPublished - 2019
Event7th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2017 - Neuchatel, Switzerland
Duration: 6 Dec 20178 Dec 2017
Conference number: 7
http://simpda2017.di.unimi.it/

Publication series

NameLecture Notes in Business Information Processing
PublisherSpringer
Volume340
ISSN (Print)1865-1348

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Data-driven
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Switzerland
Symposium

Cite this

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abstract = "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.",
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Data-Driven Process Discovery and Analysis : 7th IFIP WG 2.6 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 6-8, 2017, Revised Selected Papers. / Ceravolo, Paolo (Editor); van Keulen, Maurice (Editor); Stoffel, Kilian (Editor).

Springer, 2019. 129 p. (Lecture Notes in Business Information Processing; Vol. 340).

Research output: Book/ReportBook editingAcademic

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