Knowledge Discovery in Big Data from Astronomy and Earth Observation Astrogeoinformatics 1st Edition by Petr Skoda,Fathalrahman Adam ISBN 0128191546 978-0128191545

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Product details:

ISBN 10: 0128191546 

ISBN 13: 978-0128191545

Author: Petr Skoda, Fathalrahman Adam

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.

• Addresses both astronomy and geosciences in parallel, from a big data perspective
• Includes introductory information, key principles, applications and the latest techniques
• Well-supported by computing and information science-oriented chapters to introduce the necessary knowledge in these fields

Table of contents:

Cover Image
Title Page
Table of Contents
Copyright
List of Contributors
A Word from the BIG-SKY-EARTH Chair
Preface
What’s in This Book?
Motivation and Scope
Acknowledgments

Part I: Data

• Chapter 1: Methodologies for Knowledge Discovery Processes in Context of AstroGeoInformatics

• Chapter 2: Historical Background of Big Data in Astro and Geo Context

Part II: Information

• Chapter 3: AstroGeoInformatics: From Data Acquisition to Further Application

• Chapter 4: Synergy in Astronomy and Geosciences

• Chapter 5: Surveys, Catalogues, Databases, and Archives of Astronomical Data

• Chapter 6: Surveys, Catalogues, Databases/Archives, and State-of-the-Art Methods for Geoscience Data Processing

• Chapter 7: High-Performance Techniques for Big Data Processing

• Chapter 8: Query Processing and Access Methods for Big Astro and Geo Databases

• Chapter 9: Real-Time Stream Processing in Astronomy

Part III: Knowledge

• Chapter 10: Time Series

• Chapter 11: Advanced Time Series Analysis of Generally Irregularly Spaced Signals: Beyond the Oversimplified Methods

• Chapter 12: Learning in Big Data: Introduction to Machine Learning

• Chapter 13: Deep Learning – an Opportunity and a Challenge for Geo- and Astrophysics

• Chapter 14: Astro- and Geoinformatics – Visually Guided Classification of Time Series Data

• Chapter 15: When Evolutionary Computing Meets Astro- and Geoinformatics

Part IV: Wisdom

• Chapter 16: Multiwavelength Extragalactic Surveys: Examples of Data Mining

• Chapter 17: Applications of Big Data in Astronomy and Geosciences: Algorithms for Photographic Images Processing and Error Elimination

• Chapter 18: Big Astronomical Datasets and Discovery of New Celestial Bodies in the Solar System in Automated Mode by the CoLiTec Software

• Chapter 19: Big Data for the Magnetic Field Variations in Solar-Terrestrial Physics and Their Wavelet Analysis

• Chapter 20: International Database of Neutron Monitor Measurements: Development and Applications

• Chapter 21: Monitoring the Earth Ionosphere by Listening to GPS Satellites

• Chapter 22: Exploitation of Big Real-Time GNSS Databases for Weather Prediction

• Chapter 23: Application of Databases Collected in Ionospheric Observations by VLF/LF Radio Signals

• Chapter 24: Influence on Life Applications of a Federated Astro-Geo Database

Index

 

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Tags: Petr Skoda, Fathalrahman Adam, Knowledge Discovery, in Big Data from Astronomy, and Earth Observation