Spatio-temporal data mining: A survey of problems and methods
Large volumes of spatio-temporal data are increasingly collected and studied in diverse
domains, including climate science, social sciences, neuroscience, epidemiology …
domains, including climate science, social sciences, neuroscience, epidemiology …
A systematic literature review of IoT time series anomaly detection solutions
The rapid spread of the Internet of Things (IoT) devices has prompted many people and
companies to adopt the IoT paradigm, as this paradigm allows the automation of several …
companies to adopt the IoT paradigm, as this paradigm allows the automation of several …
Clustering-based anomaly detection in multivariate time series data
Multivariate time series data come as a collection of time series describing different aspects
of a certain temporal phenomenon. Anomaly detection in this type of data constitutes a …
of a certain temporal phenomenon. Anomaly detection in this type of data constitutes a …