Data-Driven Process Discovery and Analysis

4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers
1. Auflage 2015
ISBN: 978-3-319-27242-9
Verlag: Springer International Publishing

Buch, Englisch, Band 237, 123 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 2175 g

Reihe: Lecture Notes in Business Information Processing

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.

Zielgruppe

Research

Autoren/Hrsg.

Ceravolo, Paolo

Accorsi, Rafael

Russo, Barbara

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Management Prozessmanagement

Inhaltsverzeichnis

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.