Pattern modelling in time-series prediction refers to the process of identifying past relationships and trends in historical data for predicting future values. This paper describes the development of a new pattern-matching technique for univariate time-series forecasting. The pattern modelling technique outperforms frequently used statistical methods such as exponential smoothing on different error measures and predicting the direction of change in time-series. The paper discusses the prediction results on popular benchmarks and the real U.S. S&P index for financial markets.
['Sameer Singh']
PATTERN MODELLING IN TIME-SERIES FORECASTING