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

Knowledge Discovery in Big Data from Astronomy and Earth Observation

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"Knowledge Discovery in Big Data from Astronomy and Earth Observation" by Petr Skoda, Fathalrahman Adam is a astronomy book and space science reference focused on Equipment & Methods. Best for students, researchers, and serious astronomy enthusiasts.

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.

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Best For: Researchers and practitioners working at the intersection of astronomy, earth observation, and data science.
Focus: Application of big data techniques, including machine learning and parallel computing, to astronomy and geoscience data.
Covers: Common workflows and data science tools used for big data in astronomy and earth observation.
Why It Matters: Facilitates understanding of how big data methods can be applied across disciplines to analyze large datasets from space and earth observations.

"Knowledge Discovery in Big Data from Astronomy and Earth Observation" by Petr Skoda, Fathalrahman Adam is a astronomy book and space science reference focused on Equipment & Methods. Best for students, researchers, and serious astronomy enthusiasts.

Topic: Equipment & Methods

Author: Petr Skoda, Fathalrahman Adam

Who this is for:

  • Astronomy students
  • Researchers and advanced hobbyists
  • Readers exploring space science topics

Why this book matters: It matters because it helps readers build a stronger understanding of astronomy concepts, observations, and scientific ideas related to space.

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.

AuthorPetr Skoda, Fathalrahman Adam
PublisherElsevier
Published2020-04-09
ISBN-139780128191545
BindingPaperback
Pages472
LanguageEnglish
SubjectsComputers
TopicEquipment & Methods

Format: Paperback

Length: 472 pages

Language: English

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