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Knowledge Discovery in Big Data from Astronomy and Earth Observation

Astrogeoinformatics

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2020
ISBN13: 9780128191545
Rubricering
Elsevier Science e druk, 2020 9780128191545
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data science aspects are illustrated in the context of both fields. Software, hardware and algorithms of big data are addressed.

Finally, the book offers insight into the emerging science which combines data and expertise from both fields in studying the effect of cosmos on the earth and its inhabitants.

Specificaties

ISBN13:9780128191545
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

<p>Part I: Data</p> <p>1. Methodologies for Knowledge Discovery Processes in Context of AstroGeoInformatics</p> <p>Peter Butka, Peter Bednár, Juliana Ivančáková</p> <p>2. Historical Background of Big Data in Astro and Geo Context</p> <p>Christian Muller<br> </p> <p>Part II: Information</p> <p>3. AstroGeoInformatics: From Data Acquisition to Further Application</p> <p>Bianca Schoen-Phelan</p> <p>4. Synergy in Astronomy and Geosciences</p> <p>Mikhail Minin, Angelo Pio Rossi</p> <p>5. Surveys, Catalogues, Databases, and Archives of Astronomical Data</p> <p>Irina Vavilova, Ludmila Pakuliak, Iurii Babyk, Andrii Elyiv, Daria Dobrycheva, Olga Melnyk</p> <p>6. Surveys, Catalogues, Databases/Archives, and State-of-the-Art Methods for Geoscience Data Processing</p> <p>Lachezar Filchev, Lyubka Pashova, Vasil Kolev, Stuart Frye</p> <p>7. High-Performance Techniques for Big Data Processing</p> <p>Philipp Neumann, Julian Kunkel</p> <p>8. Query Processing and Access Methods for Big Astro and Geo Databases</p> <p>Karine Zeitouni, Mariem Brahem, Laurent Yeh, Atanas Hristov</p> <p>9. Real-Time Stream Processing in Astronomy</p> <p>Veljko Vujčić, Darko Jevremović<br> </p> <p>Part III: Knowledge</p> <p>10. Time Series</p> <p>Ashish Mahabal</p> <p>11. Advanced Time Series Analysis of Generally Irregularly Spaced Signals: Beyond the Oversimplified Methods</p> <p>Ivan L. Andronov</p> <p>12. Learning in Big Data: Introduction to Machine Learning</p> <p>Khadija El Bouchefry, Rafael S. de Souza</p> <p>13. Deep Learning – an Opportunity and a Challenge for Geo- and Astrophysics</p> <p>Christian Reimers, Christian Requena-Mesa</p> <p>14. Astro- and Geoinformatics – Visually Guided Classification of Time Series Data</p> <p>Roman Kern, Tarek Al-Ubaidi, Vedran Sabol, Sarah Krebs, Maxim Khodachenko, Manuel Scherf</p> <p>15. When Evolutionary Computing Meets Astro- and Geoinformatics</p> <p>Zaineb Chelly Dagdia, Miroslav Mirchev<br> </p> <p>Part IV: Wisdom</p> <p>16. Multiwavelength Extragalactic Surveys: Examples of Data Mining</p> <p>Irina Vavilova, Daria Dobrycheva, Maksym Vasylenko, Andrii Elyiv, Olga Melnyk</p> <p>17. Applications of Big Data in Astronomy and Geosciences: Algorithms for Photographic Images Processing and Error Elimination</p> <p>Ludmila Pakuliak, Vitaly Andruk</p> <p>18. Big Astronomical Datasets and Discovery of New Celestial Bodies in the Solar System in Automated Mode by the CoLiTec Software</p> <p>Sergii Khlamov, Vadym Savanevych</p> <p>19. Big Data for the Magnetic Field Variations in Solar-Terrestrial Physics and Their Wavelet Analysis</p> <p>Bozhidar Srebrov, Ognyan Kounchev, Georgi Simeonov</p> <p>20. International Database of Neutron Monitor Measurements: Development and Applications</p> <p>D. Sapundjiev, T. Verhulst, S. Stankov</p> <p>21. Monitoring the Earth Ionosphere by Listening to GPS Satellites</p> <p>Liubov Yankiv-Vitkovska, Stepan Savchuk</p> <p>22. Exploitation of Big Real-Time GNSS Databases for Weather Prediction</p> <p>Nataliya Kablak, Stepan Savchuk</p> <p>23. Application of Databases Collected in Ionospheric Observations by VLF/LF Radio Signals</p> <p>Aleksandra Nina</p> <p>24. Influence on Life Applications of a Federated Astro-Geo Database</p> <p>Christian Muller</p>

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        Knowledge Discovery in Big Data from Astronomy and Earth Observation