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OR54 Annual Conference
4 - 6 September 2012 | University of Edinburgh
Forecasting, Data Mining and Computationally Intensive Methods
Fifty years on, the OR Society continues to be an innovator and leader in its field. Today the Society has over 3000 members in 53 countries who receive a wide range of services and benefits. The Society's training programme is the most comprehensive O.R. training programme on offer anywhere in the world. Its annual conference is the largest national conference outside the USA, and its series of Young OR conferences, inaugurated in 1980, is the world's leading conference for young O.R. workers.
OR54 is the main annual conference of the OR Society and attracts over 300 delegates from the UK, Europe, North The three-day conference programme contains a mixture of plenary sessions given by keynote speakers and parallel streams, covering all aspects of OR. In addition there is a comprehensive social programme.
We are organizing the “Forecasting, Data Mining and Computationally Intensive Methods” stream, one of the many streams in the forthcoming OR54 Conference to be held in Edinburgh (September 2012) and we would like to invite theoretical and/or empirical contributions that consider this interface.
Forecasting is a multidisciplinary research field drawing on mathematics, management, information sciences, behavioral sciences, social sciences, engineering, and other fields. Topics of interest for the OR54 stream include but are not limited to:
- Forecasting principles
- Forecasting competitions
- Time series forecasting methods
- Econometric/causal models
- Judgmental forecasting
- Adjusting for special events (promotions, weather)
- Financial and economic forecasting
- E-forecasting
- Energy Forecasting
- Forecasting with Neural Networks
- Forecasting support systems
- Forecasting software evaluation
During the past decades, data mining has evolved from an academic discipline into a fully-fledged mature technology, with many business applications. This stream addresses the challenges in developing and deploying data mining models in a real-life business setting. Potential topics include but are not limited to:
- New data mining algorithms and techniques
- Data preprocessing and data quality
- Deploying data mining models
- Monitoring data mining models
- Real-life case studies
- Social networks data mining
- Health and usage monitoring
- Anomaly detection
If you wish to present a paper in this stream, please submit an abstract (no more than 300 words) before June 13, 2012 at the Society’s website (www.theorsociety.com).
We look forward to seeing you at the conference!
Fotios Petropoulos
Forecasting & Strategy Unit
National Technical University of Athens
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John Crocker
Optimized Systems and Solutions (OSyS)
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