3rd CFP: EPForDM workshop at EDBT 2015

[Alexander Artikis]

Apologies for cross-posting.

************************* Call for Papers ***************************

Event Processing, Forecasting and Decision-Making in the Big Data Era
(EPForDM)

EDBT 2015 Workshop
March 27, 2015

http://cer.iit.demokritos.gr/epfordm

**********************************************************************

The Big Data era has posed a number of challenges in applications related
to event processing. In particular, the data volume, velocity and
distribution necessitate the design on new scalable approaches for the
efficient and timely processing of the produced data. The lack of veracity
in the handled data/events further complicates the problem. Moreover, key
challenges concern the use of the voluminous data in order to forecast
future events and perform proactive event-driven decision-making.

Event forecasting is important because eliminating or mitigating an
anticipated problem, or capitalizing on a forecast opportunity, can
substantially improve our quality of life, and prevent environmental and
economic damage. For example, changing traffic-light priority and speed
limits to avoid traffic congestions will reduce carbon emissions, optimize
transportation and increase the productivity of commuters. At the business
level, making smart decisions ahead of time can become a differentiator
leading to significant competitive advantage. In a wide range of
applications, prevention is more effective than the cure. To prevent
problems and to capitalize on opportunities before they even occur, a
proactive event-driven decision-making paradigm is necessary. Decisions are
triggered by forecasting events instead of reacting to them once they
happen. Moreover, decisions are made in real-time and require on-the-fly
processing of Big Data, that is, extremely large amounts of noisy data
flooding in from various locations, as well as historical data.

The aim of the EPForDM workshop is to bring together computer scientists
with interests in the fields of event processing, event forecasting and
event-driven decision-making to present recent innovations, find topics of
common interest and stimulate further development of new approaches to make
sense of Big Data.

Topics of interest include (but are not limited to):

-Scalable event processing under uncertainty
-Distributed event processing
-Event forecasting
-Multi-scale temporal aggregation of events
-Machine learning for event processing and forecasting
-Distributed machine learning
-Event-driven decision-making
-Visual analytics for proactive decision-making and Big Data
-Human Factors evaluation of proactive event-driven systems
-Novel architectures for Big Data processing
-Engineering proactive event-driven systems
-Position papers on proactive event-driven systems
-Privacy issues in Big Data processing
-Energy efficiency and reliability in Big Data processing
-Scheduling and provisioning issues in Big Data processing

IMPORTANT DATES

Paper submission: December 5, 2014, 23:59 CET
Notification: January 9, 2015
Camera-ready version: January 23, 2015, 23:59 CET
Workshop date: March 27, 2015

ORGANISATION

General Chairs:
Alexander Artikis, NCSR Demokritos, Greece
Antonios Deligiannakis, Technical University of Crete, Greece

Program Committee Chairs:
Minos Garofalakis, Technical University of Crete, Greece
Pedro Bizarro, FeedZai, Portugal
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