Knowledge discovery in big data from astronomy and Earth observation astrogeoinformatics /
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| Imprint: | St. Louis, Mo : Elsevier, 2020. |
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| Description: | 1 online resource |
| Language: | English |
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| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12315829 |
| Summary: | <p> 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.</p> <p>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.</p> 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 |
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| Item Description: | Includes index. |
| Physical Description: | 1 online resource |
| ISBN: | 9780128191552 0128191554 9780128191545 0128191546 |