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MT4BD 2014 : Workshop on New Methods and Tools for Big Data


When Sep 19, 2014 - Sep 21, 2014
Where Island of Rhodes, Greece
Submission Deadline May 10, 2014
Notification Due Jun 10, 2014
Final Version Due Jun 21, 2014
Categories    big data   artificial int   information technology   computer science

Call For Papers

MT4BD 2014 Call For Papers

Workshop on New Methods and Tools for Big Data (MT4BD-2014)
Island of Rhodes, Greece, September 19-21, 2014

We would like to cordially invite you to consider contributing a paper to
MT4BD 2014 - held as a part of the 10th International Conference on Artificial
Intelligence Applications and Innovations (AIAI 2014).

The provision of large amount of data from various sources (Internet, Social Media,
Application Logs, Data Warehouses, Sensors, Mobiles, Open Data, etc.) is now emerging
the collection and processing of “Big Data”. While Big Data notion is adopted from both
academic and enterprise communities, there is currently a wide gap between its potential
and its realization. Variety, velocity, scale, complexity, interpretation and security
problems with Big Data raise challenges at all phases of the pipeline that can extract
information and knowledge from it. Thus, there is a natural interest in using these data
asset to improve a variety of applications. It is very interesting to explore how the
researchers utilize data-driven strategies and discover what disciplines will charge because
of the advent of data. With the vast amount of data now available modern business are facing
with the challenges of storage, management, analysis, privacy, visualization, security and
data integration.

The aim of this workshop is to serve as an interdisciplinary forum for bringing together
specialists from the scientific areas of Computer Engineering, Finance and Operational Research.
The focus of this workshop is on current technological advances and challenges about the development
of big data-driven algorithms and methods and tools. Furthermore, it would be very interesting
to investigate if the use of a vast amount of data leads to more accurate models or not.

MT4BD 2014 will welcome paper submissions introducing and implementing methods and
tools to address various algorithms and methods for processing, modeling and mining
of big data and applications. This workshop will provide a forum for the exchange of
ideas between theoreticians and practitioners. Topics of interest include, but are not
limited to, the following new techniques and applications relevant to the big data topic:
- Big Data Analytics:
Business intelligence and analytics
Interactive Visualisation Technologies and Visual Analytics
Data mining
Human Collaboration (crowdsoursing)
- Tools and Applications:
Smart Health and Wellbeing
Smart Cities
Sensors Networks
Industrial Automation
Systems Biology and Bioinformatics
Financial Forecasting and Trading
- Big Data Architectures and Frameworks:
Cloud computing
Grid computing
Data storage and processing frameworks
Security and privacy

Authors are invited to submit original, English-language research contributions or experience
reports. Papers should be no longer than 10 pages formatted according to the well-known LNCS
Springer style. The submission will follow the guidelines that will be published from
AIAI 2014 conference, available at:

Submitted papers will be refereed for quality, correctness, originality, and relevance.
Notification and reviews will be communicated via email. Accepted papers will be
presented at the workshop and published in the Proceedings of the main event (by Springer).

Paper submission deadline: May 10th, 2014
Author notifications: June 14th, 2014
Camera-ready submission deadline: June 21st, 2014
Early registration deadline: June 29th, 2014
Conference Dates: September 19-21, 2014

PROGRAMM COMMITEE (confirmed so far)
Spiros Likothanassis, University of Patras, Greece
Dimitris Tzovaras, CERTH/ITI, Greece
Eero Hyvone, Aalto University, Finland
Jorn Kohlhammer, Fraunhofer-Institut fur Graphische Datenverarbeitung IGD, Germany
George Pavlidis, University of Patras, Greece
Konstantinos Theofilatos, University of Patras, Greece
Konstantinos Votis, CERTH/ITI, Greece
Dimitris Kotsomitropoulos, University of Patras, Greece
Christos Alexakos, University of Patras, Greece

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