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Call for Papers
EdbA 2021 - Second International Workshop on Event Data and
Behavioral
Analytics
1 November 2021
Co-located with the 3rd Int. Conference on Process Mining (ICPM)
http://www.edba.science
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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 into 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 19, 2021
- Papers submission deadline: August 26, 2021
- Notification: September 16, 2021
- Camera-ready deadline: September 30, 2021
- Workshop: November 1, 2021
Scope
--------------------------
Over the past decades, capturing, storing, 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, smart homes, and offices, just 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, objects, and/or systems at a fine-grained
level.
While each of these domains has its own applications and
idiosyncrasies,
they share the common denominator of event data and the objective
to
analyze behavior. Yet, these domains also differ in 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 the presence of event data being recorded at
various sources
and contexts, being stored in various forms, and being considered
for
analysis of the 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 two types of
submissions, i.e.
original research papers as well as case study reports 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
- 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/my/conference?conf=icpm2021
Program Committee
--------------------------
- Periklis Andritsos, University of Toronto, Canada
- Gael Bernard, University of Toronto, Canada
- Ioannis Chatzigiannakis, Sapienza University of Rome, Italy
- Jochen De Weerdt, Catholic University of Leuven, Belgium
- Massimiliano de Leoni, University of Padova, Italy
- Claudio di Ciccio, Sapienza University of Rome, Italy
- Chiara Di Francescomarino, Fondazione Bruno Kessler-IRST, Italy
- Bettina Fazinga, ICAR - National Research Council, Italy
- Marwan Hassani, Eindhoven University of Technology, the
Netherlands
- Gert Janssenswillen, Hasselt University, Belgium
- Xixi Lu, Utrecht University, the Netherlands
- Fabrizzio Maggi, Free University of Bozen, Italy
- Felix Mannhardt, Eindhoven University of Technology, the
Netherlands
- Niels Martin, Hasselt University, Belgium
- Jan Mendling, Humboldt-Universität zu Berlin, Germany
- Marco Montali, Free University of Bozen, Italy
- Mathias Weidlich, Humboldt-Universität zu Berlin, Germany
Organizers
--------------------------
- Benoît Depaire, Hasselt University, Belgium
- Fahland, Dirk, Eindhoven University of Technology, the
Netherlands
- Francesco Leotta, Sapienza University of Rome, Italy
- Senderovich, Arik, University of Toronto, Canada
Contacts
--------------------------
Web:
http://www.edba.science/
Email:
info@edba.science
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