The book is a summary of a time series forecasting competition that was held a number of years ago. It aims to provide a snapshot of the range of new techniques
Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic
This book presents machine learning and type-2 fuzzy sets for the prediction of time-series with a particular focus on business forecasting applications. It als
Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting. In
This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learn