### Apologies for cross-postings ###

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CALL FOR PAPERS

20th Americas Conference on Information Systems

Savannah, Georgia, August 07-10, 2014 (http://amcis2014.aisnet.org/index.php/track-list/77-amcis-2014/88)

AMCIS 2014 Track on Business Intelligence, Analytics, and Knowledge Management (SIGDSS)

Mini-Track: Predictive Analytics: Definition, Implementation, and Usage

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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:
_March 1, 2014: Submission deadline

_April 4, 2014: Authors will be notified as to whether their submission was accepted, conditionally accepted, or rejected

_April 18, 2014: Authors must have their revised submissions submitted

_April 25, 2014: Authors must have their camera-ready, final papers submitted

Instructions for authors
All conference submissions will be double-blind, peer reviewed.
For complete instructions for authors and information about the conference, visit the AMCIS 2012 conference website at http://amcis2014.aisnet.org/index.php/call-for-papers.  

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