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We are organizing a track entitled “Business Analytics and Data Analysis” for the Classification Society conference, which takes place in Pittsburgh in June 2011.  “Analytics” is currently a hot topic in the corporate world.  Corporations have access to ever increasing amounts of data and there is a need for techniques to help utilize these data for business advantage.  The broad topic of “Business Analytics” covers a plethora of techniques, from simple metrics to complex statistical models.  In this track, we hope to gather a selection of papers that demonstrate the use of classification and data analysis techniques in a business analytics context.  Both novel applications of existing techniques and newly developed techniques are welcome. A topic list is given below. 

 

The Classification Society is a nonprofit interdisciplinary and international organization whose purposes are to promote the scientific study of classification and clustering (including systematic methods of creating classifications from data), and to disseminate scientific and educational information related to its fields of interests.  Extracting useful information from large and complex machine-readable data sets is a problem faced by people in nearly every area of commerce, manufacturing, government, and in every academic discipline and science. Creating an environment conducive to solving such problems requires assembling a community with broad collective expertise in mathematics, statistics, computing, and a wide variety of different application areas. Join us in addressing and solving the great data analysis problems of our time.

 

Cluster Analysis                                                               

Conjoint Analysis                                                            

Customer Analytics and Value Models

Data Mining Applications                                             

Logit/Probit Choice Models                                        

Multidimensional Scaling                                             

Perceptual Mapping                                                      

Privacy Preserving Techniques                                  

Recommender Systems

Social Network Analysis

Spatial Statistics

Text Mining and Sentiment Analysis

Visualization

Website Analytics

Other Business Analytics Topics

Submission of Abstracts: The submission is abstract only.  There will not be a paper proceedings volume. Abstracts for the session should be sent to france@uwm.edu.  The abstract can be up to 300 words long.

 

Registration: Registration and accommodation details can be found at the main conference website ().  The cost of the conference is expected to be $200 for members of the Classification Society and $275 for non-members.  General conference enquiries should be sent to Rebecca Nugent (rnugent@stat.cmu.edu) or Doug Steinley (steinleyd@missouri.edu)

Track Organizers:            
Ahmed Abbasi, Lubar School of Business, University of Wisconsin – Milwaukee
Stephen France, Lubar School of Business, University of Wisconsin – Milwaukee
Stanley Sclove, College of Business Administration, University of Illinois, Chicago

Important Dates:
Abstracts due: April 10, 2011
Acceptance notification: May 05, 2011