[Turkmath:6824] EURO 2010 --- Stream "Data Mining in Early Warning Systems"
Gerhardwilhelm Weber
gweber at metu.edu.tr
2 Mar 2010 Sal 12:01:34 EET
CALL FOR ABSTRACTS
24rd European Conference on Operational Research
Lisbon, July 11 - 14, 2010
Stream:
Data Mining in Early Warning Systems (DM in EWSs)
Deadline: March 22, 2010
Submission address: http://euro2010lisbon.org/
Submission code: da8125ce
The 24rd European Conference on Operational Research will be held in
Lisbon, July 11-14, this year. We would like to invite all
researchers, academicians, practitioners, as well as students
interested in data mining (DM) and its applications in the development
of early warning systems (EWSs) to participate in the conference and
to present their papers in the sessions dedicated to these topics. To
submit an abstract in the Data Mining in Early Warning Systems
session, please provide the submission code da8125ce in the Abstract
Submission page of the conference web site. Abstracts must be written
in English and contain no more than 600 characters (no formulas or
mathematical notations are allowed). The deadline for the final
abstract submission is March 22, 2010. Note that each attendee is
allowed to present only one paper at the conference.
DM in EWSs:
Development of more effective EWSs for various applications have been
possible during the past decade due to advancements in information,
detection, data mining (DM) and surveillance technologies. These
application areas include economy, banking, finance, health care,
bioinformatics, production and service delivery, quality management,
hazard and crime prevention and minimization of other social risks
involving the environment, administrations, politics and human rights.
Typical applications of DM are observed in management of risks in
economy, banking and financial operations, such as economic crisis
prediction and fraud detection based on historical data about the
economy or banking/financial operations and customers. Environmental,
public health and disaster monitoring systems use surveillance
technologies such as remote sensing (satellite imaging) and the data
collected are analyzed by DM approaches for early warnings. Several
EWSs for health and infectious disease control exist that make more
and more use of DM methods. Similarly, EWS applications and attempts
are observed in the literature and in practice for network security,
intelligence, protection against natural or man-made hazards, risks
from poor product quality or competitors' threats, and so on. There is
a need to develop many others and improve the existing ones for
detecting important economic and social risks including hungers,
epidemics, crimes, child abuses, unemployment, ethnic conflicts and
environmental disasters.
For further questions and information regarding the conference you may
consult with the EURO website http://euro2010lisbon.org/ or contact
info at euro2010lisbon.org. You may also directly contact the stream
organizers.
Hoping to see you in Lisbon!
Best Regards,
Stream Organizers:
Gulser Koksal (koksal at ie.metu.edu.tr) & Inci Batmaz (ibatmaz at metu.edu.tr)
Middle East Technical University
Ankara TURKEY
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