-------- Forwarded Message --------
********************************************************************************
Call for Papers
EdbA 2020 - First International Workshop on Event Data and
Behavioral
Analytics
5 October 2020
Co-located with the 2nd Int. Conference on Process Mining (ICPM)
http://www.edba.science
********************************************************************************
Due to the consequences of the COVID-19 pandemic, it has been
decided that
ICPM 2020 will be a fully virtual conference. The same will apply
to the
EdbA workshop. Further details will follow as we get nearer to the
workshop
date.
********************************************************************************
The workshop aims to further the development of new (or the novel
application of existing) techniques, algorithms and data
structures for
recording, storing, managing, processing, analyzing, and
visualizing event
data in various forms in order to gain insights in the behavior of
various
kinds. The workshop welcomes different types of submissions, i.e.
original
research papers, case study reports, position papers, idea papers,
challenge papers and WiP papers on event data and behavioral
analytics.
Important Dates
--------------------------
- Abstract submission deadline: August 18, 2020 (extended!)
- Papers submission deadline: August 25, 2020 (extended!)
- Notification: September 14, 2020
- Camera-ready deadline: September 22, 2020
- Workshop: October 5, 2020
Scope
--------------------------
Over the past decades, gathering, managing and analyzing event
data has
gained attention in various domains such as process mining,
clickstream
analytics, IoT analytics, e-commerce and retail analytics, online
gaming
analytics, security analytics, website traffic analytics and
preventive
maintenance to name a few. It even resulted in the birth of new
research
domains such as behavioral informatics, behavioral analytics and
behavioral
operations research. The interest in event data lies in its
analytical
potential as it captures the dynamic behavior of people, business
entities,
objects and/or systems at a fine-grained level.
While each of these domains have their own applications and
idiosyncrasies,
they share the common denominator of event data and the objective
to
analyze behavior. Yet, these domains also differ in their
underlying
assumptions and techniques used. Therefore, the objective of this
workshop
is to provide a forum to practitioners and researchers for
studying a
quintessential, minimal notion of events as the common denominator
for
records of discrete behavior in all its forms, and to study,
develop and
discuss techniques and methods for behavioral analytics based on
all kinds
of events.
The Event Data & Behavioral Analytics (edba) workshop
considers as its
starting point how to gather event data being recorded at various
sources
and contexts, how to store event data in various forms, and how to
exploit
event data for analysis of behavior of various kinds. Event data
at
different levels of granularity are considered, ranging from
frequent
sensor-based events in IoT settings to recordings of aggregate or
long-running behavior involving time intervals and rich
information.
Behavior often involves multiple entities, objects, and actors to
which
events can be correlated in various ways. In these situations, a
unique
explicit process notion does either not exist, is unclear or
different
processes or dynamics could be recorded in the same dataset.
The workshop aims to further the development of new (or the novel
application of existing) techniques, algorithms and data
structures for
recording, storing, managing, processing, analyzing, and
visualizing event
data in various forms. The workshop welcomes different types of
submissions, i.e. original research papers, case study reports,
position
papers, idea papers, challenge papers and WiP papers on event data
and
behavioral analytics.
Topics of interest
--------------------------
The topics considered in the workshop consist of, but are not
limited to:
- Augmentation of fine-grained event data to higher order
activities or
behavior
- Gathering, storage, integration, and querying of behavioral
event data
- Representation and analysis of event data without a unique case
identifier (without case identifier or with multiple case
identifiers
present)
- Monitoring and detection of complex behavior
- Diagnosis of behavior, including root-cause analysis, variance
analysis,
cluster analysis and many other exploratory analysis techniques
- Visual analytics of (complex) behavior
- Behavior Pattern detection, e.g., in real-time location data or
other
types of context-rich data
- Outlier Behavior Detection
- Behavior Prediction
- Prescriptive analytics which predicts behavior and prescribes
which
action could steer behavior in a specific direction
Submissions
-----------------
We are interested in original research papers, case study reports,
position
papers, idea papers, challenge papers and WiP papers. Submissions
must use
the Springer LNCS/LNBIP format (see the instructions [1]) and
cannot exceed
12 pages (always including tables, figures, the bibliography and
appendices). Only papers in English will be considered and must
present
original research contributions not concurrently submitted
elsewhere.
Papers must be submitted electronically via the EasyChair portal
[2].
All accepted papers will appear in the workshop proceedings
published by
Springer in the Lecture Notes in Business Information Processing
(LNBIP)
series.
[1]
https://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0
[2]
https://easychair.org/conferences/?conf=icpm2020
Program Committee
--------------------------
- Jan Aerts, Hasselt University, Belgium
- Jochen De Weerdt, Catholic University of Leuven, Belgium
- Claudio di Ciccio, Sapienza University of Rome, Italy
- Bettina Fazinga, ICAR - National Research Council, Italy
- Marwan Hassani, Eindhoven University of Technology, the
Netherlands
- Francesco Leotta, Sapienza University of Rome, Italy
- Xixi Lu, Utrecht University, the Netherlands
- Niels Martin, Hasselt University, Belgium
- Jan Mendling, Vienna University of Economics and Business,
Austria
- Marco Montali, Free University of Bozen, Italy
Organisers
--------------------------
- Benoît Depaire, Hasselt University, Belgium
- Fahland, Dirk, Eindhoven University of Technology, the
Netherlands
- Mecella, Massimo, Sapienza University of Rome, Italy
- Senderovich, Arik, University of Toronto, Canada
Contacts
--------------------------
Web:
http://www.edba.science/
Email:
benoit.depaire@uhasselt.be
*Prof. dr. Benoît Depaire*
Hoofddocent - Associate Professor
Voorzitter OMT Beleidsinformatica - Chair Programme Business
Informatics
Beleidsinformatica - Business Informatics
T +32(0)11 26 91 48
www.uhasselt.be
www.businessinformatics.be
Universiteit Hasselt - Campus Diepenbeek
Agoralaan Gebouw D - B-3590 Diepenbeek
Kantoor B73
*"The future cannot be predicted, but futures can be invented."
(Dennis
Gabor)*
Wil je meer weten over de *opleiding Handelsingenieur in de
Beleidsinformatica**?*
Klik hier
<https://www.uhasselt.be/beleidsinformatica> voor
meer informatie.
_______________________________________________
AISWorld mailing list
AISWorld@lists.aisnet.org