[CFP] 5th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA2015)
[Apologies if you receive multiple copies of this CFP]
FIFTH INTERNATIONAL SYMPOSIUM ON DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS
9-11 DECEMBER, 2015 - VIENNA, AUSTRIA
With the increasing automation of business processes, growing amounts of
process data become available. This opens new research opportunities for
business process data analysis, mining and modeling. The aim of the IFIP 2.6
International Symposium on Data-Driven Process Discovery and Analysis is to
offer a forum where researchers from different communities and the industry
can share their insight in this hot new field.
The Symposium will feature a number of keynotes illustrating advanced
approaches, shorter presentations on recent research, a competitive PhD
seminar and selected research and industrial demonstrations. This year the
symposium will be held in Vienna, a city in the UNESCO World Heritage List.
Call for Papers
The IFIP International Symposium on Data-Driven Process Discovery and
Analysis (SIMPDA 2014) offers a unique opportunity to present new approaches
and research results to researchers and practitioners working in business
process data modeling, representation and privacy-aware analysis.
The symposium will bring together leading researchers, engineers and
scientists from around the world. Full papers must not exceed 15 pages.
Short papers are limited to at most 4 pages. All papers must be original
contributions, not previously published or under review for publication
elsewhere. All contributions must be written in English and must follow the
LNCS Springer Verlag format. Templates can be downloaded from:
Accepted papers will be published in a pre-proceeding volume of CEUR
workshop series. The authors of the accepted papers will be invited to
submit extended articles to a post-symposium proceedings volume which will
be published in the LNBIP series (Lecture Notes in Business Information
Processing, http://www.springer.com/series/7911), scheduled for early 2015
(extended papers length will be between 7000 and 9000 words). Around 10-15
papers will be selected for publication after a second round of review.
Topics of interest for submission include, but are not limited to:
- Business Process modeling languages, notations and methods
- Lightweight Process Model
- Data-aware and data-centric approaches
- Process Mining with Big Data
- Variability and configuration of process models
- Process simulation and static analyses
- Process data query languages
- Process data mining
- Privacy-aware process data mining
- Process metadata and semantic reasoning
- Process patterns and standards
- Foundations of business process models
- Resource management in business process execution
- Process tracing and monitoring
- Process change management and evolution
- Business process lifecycle
- Case studies and experience reports
- Social process discovery
- Crowdsourced process definition and discovery
Paper Submission: 25 September 2015
Submission of PhD Presentations: 25 September 2015
Notification of Acceptance: 07 November 2015
Submission of Camera Ready Papers: 21 November 2015
Second International Symposium on Process Data: 9-11 December 2015
Post-proceeding submissions: 30 March 2016
In accordance to our historical tradition of proposing SIMPDA as a
symposium, we propose an innovative format for this workshop:
The number of sessions depend on the number of submissions but, considering
the previous editions, we envisage to have four sessions, with 4-5 related
papers assigned to each session. A special session (with a specific review
process) will be dedicated to discuss research plan from PhD students.
Papers are pre-circulated to the authors that will be expected to read all
papers in advance but to avoid exceptional overhead, two are assigned to be
prepared with particular care, making ready comments and suggestions.
The bulk of the time during each session will be dedicated to open
conversations about all of the papers in a given session, along with any
linkages to the papers and discussions within an earlier session.
The closing session (30 minutes), will include a panel about open challenges
during which every participant will be asked to assemble their
that they got out of the workshop.
Call for PhD Research Plans
The SIMPDA PhD Seminar is a workshop for Ph.D. students from all over the
world. The goal of the Seminar is to help students with their thesis and
research plans by providing feedback and general advice on how to use their
Students interested in participating in the Seminar should submit an
extended abstract describing their research. Submissions can relate to any
aspect of Process Data: technical advances, usage and impact studies, policy
analyses, social and institutional implications, theoretical contributions,
interaction and design advances, innovative applications, and social
Research plans should be at most of 5 page long and should be organized
following the following structure:
Abstract: summarizes, in 5 line, the research aims and significance.
Research Question: defines what will be accomplished by eliciting the
relevant the research questions.
Background: defines the background knowledge providing the 5 most relevant
references (papers or books).
Significance: explains the relevance of the general topic and of the
Research design and methods: describes and motivates the method adopted
focusing on: assumptions, solutions, data sources, validation of results,
limitations of the approach.
Research stage: describes what the student has done so far.
SIMPDA PhD award
A doctoral award will be given by the SIMPDA PhD Jury to the best research
An application for a limited number of scholarships aimed at students coming
from emerging countries has been submitted to IFIP.
In order to apply, please contact paolo.ceravolo@...
Visual Analytics meets Process Mining: Challenges and Opportunities
Theresia Gschwandtner and Silvia Miksch
Vienna University of Technology
Event data or traces of activities often exhibit unexpected behavior
and complex relations. Thus, before and during the application of automated
analysis methods, such as process mining algorithms, the analyst needs to
investigate and understand the data at hand in order to decide which
analysis methods might be appropriate. Visual Analytics integrates the
outstanding capabilities of humans in terms of visual information
exploration with the enormous processing power of computers to form a
powerful knowledge discovery environment. The combination of visual data
exploration with process mining algorithms makes complex information
structures more comprehensible and facilitates new insights.
In this talk, we will illustrate the various concepts of visual
process mining, focusing on the challenges, but also the great opportunities
for analyzing process data with Visual Analytics methods.
Contextualisation Techniques in Process Mining
Vienna University of Technology, Austria
Stefanie Rinderle-Ma, Universität Wien, Austria
Paolo Ceravolo, Università degli Studi di Milano, Italy
Ernesto Damiani, Università degli Studi di Milano, Italy
Erich Neuhold, University of Vienna, Austria
Maurice van Keulen, University of Twente, The Netherlands
Philippe Cudré-Mauroux , University of Fribourg, Switzerland
MOHAMED ACHEMLAL, UNIVERSITY OF BORDEAUX, FRANCE
MARCO ANISETTI, UNIVERSITÀ DEGLI STUDI DI MILANO, ITALY
IRENE VANDERFEESTEN, EINDHOVEN UNIVERSITY OF TECHNOLOGY, THE NETHERLANDS
CLAUDIO ARDAGNA, UNIVERSITÀ DEGLI STUDI DI MILANO, ITALY
HELEN BALINSKY, HEWLETT-PACKARD LABORATORIES, UK
MIRCO BIANCO, METROCONSULT ROBERTO DINI AND PARTNERS, ITALY
JOOS BUIJS, EINDHOVEN UNIVERSITY OF TECHNOLOGY, THE NETHERLANDS
ANTONIO CAFORIO, UNIVERSITÀ DEL SALENTO, ITALY
CAROLINA CHIAO, UNIVERSITY OF ULM, GERMANY
TONY CLARK, MIDDLESEX UNIVERSITY, UK
BARABARA WEBER, UNIVERSITY OF INNSBRUCK, AUSTRIA
PAUL COTOFREI, UNIVERSITY OF NEUCHÂTEL, SWITZERLAND
PHILIPPE CUDRE-MAUROUX, UNIVERSITY OF FRIBOURG, SWITZERLAND
NORA CUPPENS, ÉCOLE NATIONALE SUPÉRIEURE DES TELECOMMUNICATIONS DE BRETAGNE,
GIANLUCA DEMARTINI, UNIVERSITY OF SHEFFIELD, UK.
CLAUDIO DI CICCIO, WU VIENNA, AUSTRIA
SCHAHRAM DUSTDAR, VIENNA UNIVERSITY OF TECHNOLOGY, AUSTRIA
GREGOR GRAMBOW, UNIVERSITY OF ULM, GERMANY
CHRISTIAN GUETL, UNIVERSITY OF GRAZ, AUSTRIA
MOHAND-SAID HACID, UNIVERSITY OF LYON, FRANCE
VINCENT HILAIRE, UNIVERSITÉ DE TECHNOLOGIE DE BELFORT MONTBÉLIARD, FRANCE
WEI-CHIANG HONG, ORIENTAL INSTITUTE OF TECHNOLOGY, CHINA
MUSTAFA JARRAR, BIRZEIT UNIVERSITY, PALESTINE
MEIKO JENSEN, RUHR-UNIVERSITY BOCHUM, GERMANY
MASSIMO MECELLA, SAPIENZA UNIVERSITÀ DI ROMA, ITALY
JAN MENDLING, WU VIENNA, AUSTRIA
KWANGHOON PIO KIM, KYONGGI UNIVERSITY, SOUTH KOREA.
BARBARA RUSSO, FREE UNIVERSITY OF BOZEN - BOLZANO, ITALY
GIOVANNA SISSA, UNIVERSITÀ DEGLI STUDI DI GENOVA, ITALY
MAURICE VAN KEULEN, UNIVERSITY OF TWENTE, THE NETHERLANDS
MATTHIAS WEIDLICH, IMPERIAL COLLEGE, UK
ISABELLA SEEBER, UNIVERSITY OF INNSBRUCK, AUSTRIA
ZEESHAN PERVEZ, UNIVERSITY OF THE WEST OF SCOTLAND, UK
MARCIN WYLOT, UNIVERSITY OF FRIBOURG, SWITZERLAND
JOSE JACOBO ZUBCOFF, UNIVERSIDAD DE ALICANTE, SPAIN
WILFRIED GROSSMANN, UNIVERSITY OF VIENNA, AUSTRIA
KARIMA BOUDAOUD, ECOLE POLYTECHNIQUE DE NICE SOPHIA ANTIPOLIS, FRANCE
Historical Information on Previous Editions
SIMPDA was proposed in 2011 and 2012 by IFIP WG 2.6 and 2.12/12.4 as the
International Symposium on Data-Driven Process Discovery and Analysis.
The symposium had around 30 attendees in 2011 and 20 in 2012. It featured a
number of keynotes illustrating new approaches, shorter presentations on
recent research, and a competitive PhD seminar, together with selected
research and industrial demonstrations. The authors of the accepted papers
have been invited to submit extended articles to a post-symposium
proceedings volume published in the Springer LNBIP series.
Several events and activities arose off these symposia, among the most
notables we have two Dagstuhl seminars:
Dagstuhl Seminar on Semantic Challenges in Sensor Networks, January 24-29,
Dagstuhl Seminar on Unleashing Operational Process Mining, November 24-29,
Per destinare il 5x1000 all'Universita' degli Studi di Milano: indicare nella dichiarazione dei redditi
il codice fiscale 80012650158.