11. Advanced Time Series Analysis of Generally Irregularly Spaced Signals: Beyond the Oversimplified Methods
Ivan L. Andronov
12. Learning in Big Data: Introduction to Machine Learning
Khadija El Bouchefry, Rafael S. de Souza
13. Deep Learning - an Opportunity and a Challenge for Geo- and Astrophysics
Christian Reimers, Christian Requena-Mesa
14. Astro- and Geoinformatics - Visually Guided Classification of Time Series Data
Roman Kern, Tarek Al-Ubaidi, Vedran Sabol, Sarah Krebs, Maxim Khodachenko, Manuel Scherf
15. When Evolutionary Computing Meets Astro- and Geoinformatics
Zaineb Chelly Dagdia, Miroslav Mirchev
Part IV: Wisdom
16. Multiwavelength Extragalactic Surveys: Examples of Data Mining
Irina Vavilova, Daria Dobrycheva, Maksym Vasylenko, Andrii Elyiv, Olga Melnyk
17. Applications of Big Data in Astronomy and Geosciences: Algorithms for Photographic Images Processing and Error Elimination
Ludmila Pakuliak, Vitaly Andruk
18. Big Astronomical Datasets and Discovery of New Celestial Bodies in the Solar System in Automated Mode by the CoLiTec Software
Sergii Khlamov, Vadym Savanevych
19. Big Data for the Magnetic Field Variations in Solar-Terrestrial Physics and Their Wavelet Analysis
Bozhidar Srebrov, Ognyan Kounchev, Georgi Simeonov
20. International Database of Neutron Monitor Measurements: Development and Applications
D. Sapundjiev, T. Verhulst, S. Stankov
21. Monitoring the Earth Ionosphere by Listening to GPS Satellites
Liubov Yankiv-Vitkovska, Stepan Savchuk
22. Exploitation of Big Real-Time GNSS Databases for Weather Prediction
Nataliya Kablak, Stepan Savchuk
23. Application of Databases Collected in Ionospheric Observations by VLF/LF Radio Signals
Aleksandra Nina
24. Influence on Life Applications of a Federated Astro-Geo Database
Christian Muller
Petr Skoda has been involved in astroinformatics and has a long-term experience in using and lecturing the astronomical Virtual observatory. One of the proposers of COST BigSkyEarth Action and its MC member. BigSkyEarth is the working group behind the idea of the book and a conference about the same topic.
Fathalrahman Adam has good understanding of classical machine learning and new concepts, along with hands-on experience and published papers. He is involved in large scale applications using satellite data for earth observation, mainly multi-spectral data. He is a member of BigSkyEarth COST Action.