CIMS 2015 - Special session on Computational Intelligence in Marketing Science

Computational intelligence has a long history of applications to marketing and plays an important role in establishing the interdisciplinary pool of methodologies employed in marketing science research. For example, evolutionary algorithms, neural networks, support vector machines and fuzzy logic have been used in demand forecasting, direct marketing and cross selling, among others.
Expert systems have been used for decision support in brand management, and data mining has become a core component of customer relationship management in marketing.
The purpose of this special session is to bring together the computational intelligence community and marketing science community to set up visions on how state-of-art computational intelligence techniques can be and are used for insightful marketing analysis, and how marketing scientists can contribute in promoting new applications with computational intelligence.
Topics:
We invite submissions of original, previously unpublished papers with topics on, but not limited to, the following:
Technical issues include (but not limited to)
-Evolutionary Algorithms
-Artificial Neural Networks
-Support Vector Machines/Support Vector Regression
-Fuzzy Logic
-Expert Systems
-Data Mining
-Knowledge Discovery
-Business Intelligence
-Machine Learning
Marketing issues include (but not limited to)
-Sales/Demand Forecasting
-Response Modeling
-Retailing and Pricing
-Advertising
-Customer Relationship Management
-Brand Management
-Social Marketing