Springer Time Series Analysis and Forecasting ITISE 2017 Book

Explore advanced research in the field of data science with Time Series Analysis and Forecasting: Selected Contributions from ITISE 2017. This academic volume brings together peer-reviewed papers presented at the International Work-Conference on Time Series held in Granada, Spain. This book covers a wide range of essential topics for researchers and professionals in econometrics and statistics. It provides deep insights into mathematical methodologies and computational intelligence methods applied to time series data. Readers can examine specialized subjects such as dimensionality reduction, similarity measures, and econometric models. The content addresses modern challenges including energy time series forecasting, online learning, and the management of high-dimensional or complex big data. Whether you are studying real-world forecasting problems or looking for updated methodologies in time series analysis, this Springer publication offers a comprehensive collection of scholarly work from the ITISE 2017 conference.