Subject: | [wkwi] Reminder - CFP: AMCIS 2012: Mini Track: Predictive Analytics |
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Date: | Tue, 17 Jan 2012 21:45:27 +0100 (CET) |
From: | Prof. Dr. Carsten Felden <carsten.felden@bwl.tu-freiberg.de> |
Reply-To: | postmaster@idefix.buva.sowi.uni-bamberg.de |
### Apologies for
cross-postings ###
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CALL FOR PAPERS
18th Americas Conference on Information Systems
Seattle, Washington, August 9-12, 2012 (http://amcis2012.aisnet.org/)
AMCIS 2012 Track on Decision Support, Data Management
Systems, Knowledge Management, and Business Intelligence
(sponsored by AIS SIGDSS)
Mini-Track Title: Predictive Analytics
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Description
The term Predictive Analytics stems from the field of Business
Intelligence. Business Intelligence is concerned with the
support of decision-making. Decisions are by nature future
oriented (past and presence cannot be influenced anymore). In
any case of uncertainty about the future, forecasts are
necessary to provide a decision support. Predictive Analytics
is a form of data analysis to gather information and apply
methods to predict future developments. Therefore, Predictive
Analytics can be regarded as a conceptual part of Business
Intelligence. But still there is a discussion whether the term
is just a vogue expression or whether it can differentiate
itself from existing fields like data mining or knowledge
discovery. It is perceptible that a couple of publications
focus mainly on empirical evaluation. Of course, such a
development is comparable to other academic fields like
Knowledge Discovery in Databases which emerged from a
practical side as well. To establish it as a field of
research, more theoretical background is needed and models
need to be provided which describe the process of prediction
and the usage of the different methods like simulation or Data
Mining. The aim of the minitrack is to address aspects of
academic background and practical ones as well. With a
critical perspective all aspects of the described field need
to be regarded to support an academic perception of the
research field.
Topics are (but not
limited to):
· Definition and theoretical background of
predictive analytics
· Methods of Predictive Analytics
· Data Mining, Knowledge Discovery in Databases,
Simulation, System dynamics
· Decision support in uncertainty
· Applications of prediction
· Measurement and metrics of prediction quality
· Artificial Intelligence
· Algorithms like support vector machines,
artificial neural networks
Important dates:
January 2, 2012 Submission opens
March 1, 2012 Submission deadline
April 2, 2012 Notification of acceptance
April 20, 2012 Final camera-ready copy due
Instructions for authors
All conference submissions will be double-blind, peer
reviewed, and must be submitted using the online submission
system at http://mc.manuscriptcentral.com/amcis2012.
For complete instructions for authors and information about
the conference, visit the AMCIS 2012 conference website at http://amcis2012.aisnet.org/ after January 2, 2012.
Mini Track chairs:
Carsten Felden, Technische Universität Bergakademie Freiberg,
Germany, carsten.felden@bwl.tu-freiberg.de
Claudia Koschtial, Technische Universität Bergakademie Freiberg,
Germany, claudia.koschtial@bwl.tu-freiberg.de