Sponsored by 

1st International Competition of Time Series Forecasting

 

Forecasting problem

Deadline extended, the NEW DEADLINE for the competition is the 10th of February of 2012.

 

All submissions will be invited to participate into IEEE-EAIS 2012 conference, in the special session titled "Computational Intelligence applied to Forecast Time Series". Deadline for the special session is the 15th of February of 2012.

For more information contact jperalta@inf.uc3m.es

 

Forecast a dataset of 8 time series, most of them come from a web bookshop data, as accurately as possible using methods from computational intelligence and applying a consistent methodology. The data consists of 8 time series with different time frequencies, that could include yearly, quarterly, monthly, weekly, daily and hourly data.

Objectives

 

We seek to evaluate the accuracy of computational intelligence (CI) methods in time series forecasting with multiple frequencies. We seek to determine progress in modelling CI for forecasting & to disseminate knowledge on “best practices” across time series of different frequencies. The contestants will use a unique  consistent methodology for all time series.

Methods

 

The prediction competition is open to all methods of computational intelligence, incl. feed-forward and recurrent neural networks, fuzzy predictors, evolutionary & genetic algorithms, decision & regression tress, support vector regression, hybrid approaches etc. used in all areas of forecasting, prediction & time series analysis, etc.

Publication of Results

   

Measure how accurate is your method or system each day at Kaggle.

 

The NEW DEADLINE is the 10th of February of 2012.

 

Results will be published approximately one week after the deadline.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
   

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CAOS Group, SCALAB.

Computer Science Department. University Carlos III de Madrid.

Avenida de la Universidad 30 28911 Leganés, Spain.

Ph +0034 91 6249424