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.
1. Chapter 12: Learning in Big Data: Introduction to Machine Learning - p. 225 2. Chapter 13: Deep Learning – an Opportunity and a Challenge for Geo- and Astrophysics - p. 251 3. Chapter 14: Astro- and Geoinformatics – Visually Guided Classification of Time Series Data - p. 267 4. Chapter 15: When Evolutionary Computing Meets Astro- and Geoinformatics - p. 283 5. Part IV: Wisdom - p. 306 6. Chapter 16: Multiwavelength Extragalactic Surveys: Examples of Data Mining - p. 307 7. Chapter 17: Applications of Big Data in Astronomy and Geosciences: Algorithms for Photographic Images Processing and Error Elimination - p. 325 8. Chapter 18: Big Astronomical Datasets and Discovery of New Celestial Bodies in the Solar System in Automated Mode by the CoLiTec Software - p. 331 9. Chapter 19: Big Data for the Magnetic Field Variations in Solar-Terrestrial Physics and Their Wavelet Analysis - p. 347 10. Chapter 20: International Database of Neutron Monitor Measurements: Development and Applications - p. 371 11. Chapter 21: Monitoring the Earth Ionosphere by Listening to GPS Satellites - p. 385 12. Chapter 22: Exploitation of Big Real-Time GNSS Databases for Weather Prediction - p. 405 13. Chapter 23: Application of Databases Collected in Ionospheric Observations by VLF/LF Radio Signals - p. 419 14. Chapter 24: Influence on Life Applications of a Federated Astro-Geo Database - p. 435 15. Index - p. 445
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.
1. Chapter 12: Learning in Big Data: Introduction to Machine Learning - p. 225 2. Chapter 13: Deep Learning – an Opportunity and a Challenge for Geo- and Astrophysics - p. 251 3. Chapter 14: Astro- and Geoinformatics – Visually Guided Classification of Time Series Data - p. 267 4. Chapter 15: When Evolutionary Computing Meets Astro- and Geoinformatics - p. 283 5. Part IV: Wisdom - p. 306 6. Chapter 16: Multiwavelength Extragalactic Surveys: Examples of Data Mining - p. 307 7. Chapter 17: Applications of Big Data in Astronomy and Geosciences: Algorithms for Photographic Images Processing and Error Elimination - p. 325 8. Chapter 18: Big Astronomical Datasets and Discovery of New Celestial Bodies in the Solar System in Automated Mode by the CoLiTec Software - p. 331 9. Chapter 19: Big Data for the Magnetic Field Variations in Solar-Terrestrial Physics and Their Wavelet Analysis - p. 347 10. Chapter 20: International Database of Neutron Monitor Measurements: Development and Applications - p. 371 11. Chapter 21: Monitoring the Earth Ionosphere by Listening to GPS Satellites - p. 385 12. Chapter 22: Exploitation of Big Real-Time GNSS Databases for Weather Prediction - p. 405 13. Chapter 23: Application of Databases Collected in Ionospheric Observations by VLF/LF Radio Signals - p. 419 14. Chapter 24: Influence on Life Applications of a Federated Astro-Geo Database - p. 435 15. Index - p. 445
