CIFBF 2014 - The 2014 International Workshop on Computational Intelligence based Forecasting in Business and Finance (CIFBF 2014)

Computational Intelligence studies are primarily inspired by the laws of nature and adaptive
mechanisms in order to enable or facilitate intelligent behavior in changing complex environments.
The inherent nature of CI enables it to learn and adapt to new situations, to generalize, abstract
and discover new knowledge. Individual techniques, including artificial neural networks, support
vector machines, evolutionary computation, swarm intelligence, and fuzzy systems, as well as
hybrid models stemming from aforementioned techniques, have been applied successfully to solve
a variety of real world problems.
Due to the ability to handle specific characteristics of the forecasting problems in business and
finance, like e.g. non-linear relationships, behavioral changes, or knowledge-based domain
segmentation, we have recently witnessed a fast growth of the application of computational
intelligence in this field. For example, neural networks, support vector machines and fuzzy logic
have been used in stock price forecasting, exchange rate forecasting and sales/demand forecasting,
expert systems have been used for decision support in trading, and so forth.
The purpose of this workshop is to bridge computational intelligence community and business
analysts, financial analysts community to set up visions on how state-of-art computational
intelligence techniques can be and are used for insightful forecasting analytics solicited in
business and finance.
Topics
This workshop invites submissions of original, previously unpublished papers with topics on, but
not limited to, the following:
Technical issues include (but not limited to)
-Artificial Neural Networks
-Support Vector Machines/Support Vector Regression
-Fuzzy Logic
-Expert Systems
-Data Mining
-Knowledge Discovery
-Business Intelligence
-Machine Learning