Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics

Knowledge Discovery in Big Data from Astronomy and Earth Observation 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 the similarity in the data gathering, pre-processing and handling, the data science aspects are illustrated in the context of both fields. Both the software and algorithms aspect of big data as well as the hardware view are addressed as well. 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. Addresses both Astronomy and Geosciences in parallel, from a big data perspectiveIncludes introductory information, key principles, applications, and the latest techniquesWell-supported by computing and information science-oriented chapters to introduce the necessary knowledge in these field INDICE: 1. Historical Background of Big Data in Astro and Geo Context2. Methodology of Knowledge Discovery Processes in Context of Astro and Geo Astroinformatics3. AstroGeoInformatics: from Data Acquisition to Further Application4. Surveys, Catalogues, Databases and Archives of Astronomical data5. Surveys, Catalogues, Databases and Archives of Geoscience data6. Federation of databases, Virtual observatories7. High Performance Techniques for Big Data processing8. Typical Query Processing and Access Methods for Big Astro and Geo Databases9. Evolutionary Computing , Genetic Algorithms10. Learning in Big Data: Introduction to ML11. Adaptive Learning12. Deep Learning13. Time Series Analysis14. Influence on Life Application of Geo-Astro Database Federation15. Analysis of the Geomagnetic storms by means of Wavelet analysis for identification of the ionospheric effects, Nonparametric spline and multivariate polyspline regression with applications to Big Data in EO16. Application of databases collected in ionospheric observations by VLF/LF radio signals for detection astro and geo phenomena17. transfer of technology, to medicine18. Collection of Examples Glossary References List of related literature

• ISBN: 978-0-12-819154-5
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 400
• Fecha Publicación: 01/01/2020
• Nº Volúmenes: 1
• Idioma: Inglés