Data-Driven Process Discovery and Analysis

Second IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2012, Campione d’Italia, Italy, June 18-20, 2012, Revised Selected Papers

  • Philippe Cudre-Mauroux
  • Paolo Ceravolo
  • Dragan Gašević
Conference proceedings SIMPDA 2012

DOI: 10.1007/978-3-642-40919-6

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 162)

Table of contents (6 papers)

  1. Front Matter
  2. A Lightweight RDF Data Model for Business Process Analysis
    Marcello Leida, Basim Majeed, Maurizio Colombo, Andrej Chu
    Pages 1-23
  3. Improving Business Process Models Using Observed Behavior
    J. C. A. M. Buijs, M. La Rosa, H. A. Reijers, B. F. van Dongen, W. M. P. van der Aalst
    Pages 44-59
  4. Process Prediction in Noisy Data Sets: A Case Study in a Dutch Hospital
    Sjoerd van der Spoel, Maurice van Keulen, Chintan Amrit
    Pages 60-83
  5. Towards Automatic Capturing of Semi-structured Process Provenance
    Andreas Wombacher, Mohammad Rezwanul Huq
    Pages 84-99
  6. Back Matter

About these proceedings

Introduction

This book constitutes the thoroughly refereed proceedings of the Second International Symposium on Data-Driven Process Discovery and Analysis held in Campione d'Italia, Italy, in June 2012.

The six revised full papers were carefully selected from 17 submissions. To improve the quality of the contributions the symposium fostered the discussion during the presentation, giving authors the opportunity to improve their work extending the presented results. The selected papers cover topics spanning from theoretical issues related to process representation, discovery and analysis to practical and operational experiences in process discovery and analysis.

Keywords

BPM business process management data mining process analysis process mining workflow management

Editors and affiliations

  • Philippe Cudre-Mauroux
    • 1
  • Paolo Ceravolo
    • 2
  • Dragan Gašević
    • 3
  1. 1.University of FribourgSwitzerland
  2. 2.Università degli Studi di MilanoItaly
  3. 3.Athabasca UniversityCanada

Bibliographic information

  • Copyright Information IFIP International Federation for Information Processing 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-40918-9
  • Online ISBN 978-3-642-40919-6
  • Series Print ISSN 1865-1348
  • Series Online ISSN 1865-1356