Using multiple time series analysis for geosensor data forecasting von Pravilovic, Sonja, Bilancia, Massimo, Appice, Annalisa, Malerba, Donato

Volltext

Leveraging correlation across space and time to interpolate geophysical data via CoKriging von Pravilovic, Sonja, Appice, Annalisa, Malerba, Donato

Volltext

R Language in Data Mining Techniques and Statistics von Pravilovic, Sonja

Volltext

Process Mining to Forecast the Future of Running Cases von Pravilovic, Sonja, Appice, Annalisa, Malerba, Donato

Volltext

Application of Spatio-Temporal Clustering in Forecasting Optimization of Geo-Referenced Time Series von Pravilovic, Sonja, Appice, Annalisa

Volltext

Wind Power Forecasting Using Time Series Cluster Analysis von Pravilovic, Sonja, Appice, Annalisa, Lanza, Antonietta, Malerba, Donato

Volltext

Integrating Cluster Analysis to the ARIMA Model for Forecasting Geosensor Data von Pravilovic, Sonja, Appice, Annalisa, Malerba, Donato

Volltext

Sampling Training Data for Accurate Hyperspectral Image Classification via Tree-Based Spatial Clustering von Appice, Annalisa, Pravilovic, Sonja, Malerba, Donato, Lanza, Antonietta

Volltext

Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning von Appice, Annalisa, Pravilovic, Sonja, Lanza, Antonietta, Malerba, Donato

Volltext

An Intelligent Technique for Forecasting Spatially Correlated Time Series von Pravilovic, Sonja, Appice, Annalisa, Malerba, Donato

Volltext

The Intelligent Forecasting Model of Time Series von Pravilović, Sonja

Volltext

Enhancing Regression Models with Spatio-temporal Indicator Additions von Appice, Annalisa, Pravilovic, Sonja, Malerba, Donato, Lanza, Antonietta

Volltext