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CFP - New Methods and Tools for Big Data (MT4BD-2014)

From: Dimitrios Koutsomitropoulos <kotsomit@hpclab.ceid.upatras.gr>
Date: Mon, 17 Feb 2014 19:05:39 +0200
To: "Dimitrios Koutsomitropoulos" <kotsomit@hpclab.ceid.upatras.gr>
Message-ID: <007201cf2c02$7c180760$74481620$@hpclab.ceid.upatras.gr>
(Apologies for multiple postings)


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

Intelligence Applications and Innovations (AIAI 2014).


The provision of large amount of data from various sources (Internet, Social

Application Logs, Data Warehouses, Sensors, Mobiles, Open Data, etc.) is now

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

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

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: April 22nd, 2014

Author notifications: May 22nd, 2014

Camera-ready submission deadline: June 2nd, 2014

Early registration deadline: June 17th, 2014

Conference Dates: September 19-21, 2014


PROGRAMM COMMITEE (confirmed so far)


Spiros Likothanassis, University of Patras, Greece

Dimitris Tzovaras, CERTH/ITI, Greece

Eero Hyv÷nen, Aalto University, Finland

Jorn Kohlhammer, Fraunhofer-Institut fur Graphische Datenverarbeitung IGD,

George Pavlidis, University of Patras, Greece

Konstantinos Theofilatos, University of Patras, Greece

Konstantinos Votis, CERTH/ITI, Greece

Dimitrios Kotsomitropoulos, University of Patras, Greece

Christos Alexakos, University of Patras, Greece
Received on Monday, 17 February 2014 17:06:36 UTC

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