Seminario 21/20: Antonio Manuel Durán (Universidad de Córdoba): Time series data mining and its applications in real-world problems

Información

Currently, information systems such as sensors produce a large amount of data, which is expected to experience exponential growth in the coming years. These data are often treated as time series, which are chronologically collected data representing a time-varying function. Time series appear in a wide range of scientific fields, such as hydrology, paleoclimatology or air traffic, among others. This seminar exposes the preprocessing, segmentation and prediction of time series, which are considered one of the main tasks of time series data mining. Machine learning (ML) techniques and bio-inspired algorithms are detailed throughout a set of real-world applications.