Sonja Pravilovic was a Ph.D. student of Computer Science at University of Bari, Italy. She started her second Ph.D. Course in Computer Science under the supervision of Prof. Annalisa Appice. Education: Elementary and secondary school in Kotor. Secondary Maritime School Kotor completed in 1984. Faculty of Maritime Studies for 1985/1989 in Kotor. Sonja Pravilovic (ex Klenak) 1991/92. continued her scientific training at the postgraduate studies at the Department of Management of business systems in the maritime transport, the Faculty of Maritime Studies of Kotor, the University of Montenegro. After the exams with reported and defended his master thesis entitled Contribution to the optimization of maritime transportation 21st February 1995. 1997th she reported doctoral dissertation, entitled The application of information technology in management efficiency of maritime companies that defended 30.06.2001. 2010. She finished specialist studies at the Universita degli Studi di Bari, the Faculty of Economics - Brindisi, Economics and Managements of Maritime Organisations and Logistic.

Research Interests

Data Mining and Knowledge Discovery, Operation Research

Sonja Pravilovic
PhD
em@il: sonja.pravilovic @ uniba.it
webpage: http://www.di.uniba.it/~pravilovic/





Publications Legend

Journal Articles
Book
Conference or Workshop
Editorship
Collection
Other

Publications


2018
Sonja Pravilovic, Annalisa Appice, Donato Malerba:
Leveraging correlation across space and time to interpolate geophysical data via CoKriging. International Journal of Geographical Information Science 32(1): 191-212 (2018)
DOI: https://doi.org/10.1080/13658816.2017.1381338


2017
Annalisa Appice, Sonja Pravilovic, Donato Malerba, Antonietta Lanza:
Sampling Training Data for Accurate Hyperspectral Image Classification via Tree-Based Spatial Clustering. AI*IA: 309-320 (2017)
DOI: https://doi.org/10.1007/978-3-319-70169-1_23
Sonja Pravilovic, Massimo Bilancia, Annalisa Appice, Donato Malerba:
Using multiple time series analysis for geosensor data forecasting. Inf. Sci. 380: 31-52 (2017)
DOI: https://doi.org/10.1016/j.ins.2016.11.001


2015
Annalisa Appice, Sonja Pravilovic, Antonietta Lanza, Donato Malerba:
Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning. Discovery Science: 9-16 (2015)
DOI: https://doi.org/10.1007/978-3-319-24282-8_2


2014
Sonja Pravilovic, Annalisa Appice, Donato Malerba:
Integrating Cluster Analysis to the ARIMA Model for Forecasting Geosensor Data. ISMIS: 234-243 (2014)
DOI: https://doi.org/10.1007/978-3-319-08326-1_24
Sonja Pravilovic, Annalisa Appice, Antonietta Lanza, Donato Malerba:
Wind Power Forecasting Using Time Series Cluster Analysis. Discovery Science: 276-287 (2014)
DOI: https://doi.org/10.1007/978-3-319-11812-3_24
Sonja Pravilovic, Annalisa Appice, Antonietta Lanza, Donato Malerba:
Mining Cluster-Based Models of Time Series for Wind Power Prediction. SEBD: 9-20 (2014)


2013
Annalisa Appice, Sonja Pravilovic, Donato Malerba, Antonietta Lanza:
Enhancing Regression Models with Spatio-temporal Indicator Additions. AI*IA: 433-444 (2013)
DOI: https://doi.org/10.1007/978-3-319-03524-6_37
Sonja Pravilovic, Annalisa Appice, Donato Malerba:
An Intelligent Technique for Forecasting Spatially Correlated Time Series. AI*IA: 457-468 (2013)
DOI: https://doi.org/10.1007/978-3-319-03524-6_39
Annalisa Appice, Sonja Pravilovic, Donato Malerba:
Predictive Regional Trees to Supplement Geo-Physical Random Fields. CORES: 259-268 (2013)
DOI: https://doi.org/10.1007/978-3-319-00969-8_25
Sonja Pravilovic, Annalisa Appice, Donato Malerba:
Process Mining to Forecast the Future of Running Cases. NFMCP: 67-81 (2013)
DOI: https://doi.org/10.1007/978-3-319-08407-7_5