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Knowledge discovery in big data from astronomy and Earth observation = astrogeoinformatics /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Knowledge discovery in big data from astronomy and Earth observation/ edited by Petr Skoda, Fathalrahman Adam.
Reminder of title:	astrogeoinformatics /
other author:	Skoda, Petr.
Published:	St. Louis, Mo :Elsevier, : 2020.,
Description:	1 online resource.
Notes:	Includes index.
Subject:	Astronomy - Data processing. -
Online resource:	https://www.sciencedirect.com/science/book/9780128191545
ISBN:	9780128191552 (electronic bk.)

Knowledge discovery in big data from astronomy and Earth observation = astrogeoinformatics /
Knowledge discovery in big data from astronomy and Earth observationastrogeoinformatics /[electronic resource] :edited by Petr Skoda, Fathalrahman Adam. - St. Louis, Mo :Elsevier,2020. - 1 online resource.

Includes index.

Front Cover -- Knowledge Discovery in Big Data from Astronomy and Earth Observation -- Copyright -- Contents -- List of Contributors -- A Word from the BIG-SKY-EARTH Chair -- Preface -- What's in This Book? -- Motivation and Scope -- Acknowledgments -- Part I: Data -- 1 Methodologies for Knowledge Discovery Processes in Context of AstroGeoInformatics -- 1.1 Introduction -- 1.2 Knowledge Discovery Processes -- 1.3 Methodologies for Knowledge Discovery Processes -- 1.3.1 First Attempt to Generalize Steps -- Research-Based Methodology -- 1.3.2 Industry-Based Standard -- the Success of CRISP-DM

ISBN: 9780128191552 (electronic bk.)Subjects--Topical Terms:

671941
Astronomy
--Data processing.Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: QB51.3.E43

Dewey Class. No.: 522.8557

Knowledge discovery in big data from astronomy and Earth observation = astrogeoinformatics /
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245 0 0 $a Knowledge discovery in big data from astronomy and Earth observation $h [electronic resource] : $b astrogeoinformatics / $c edited by Petr Skoda, Fathalrahman Adam.
260 $a St. Louis, Mo : $b Elsevier, $c 2020.
300 $a 1 online resource.
500 $a Includes index.
505 0 $a Front Cover -- Knowledge Discovery in Big Data from Astronomy and Earth Observation -- Copyright -- Contents -- List of Contributors -- A Word from the BIG-SKY-EARTH Chair -- Preface -- What's in This Book? -- Motivation and Scope -- Acknowledgments -- Part I: Data -- 1 Methodologies for Knowledge Discovery Processes in Context of AstroGeoInformatics -- 1.1 Introduction -- 1.2 Knowledge Discovery Processes -- 1.3 Methodologies for Knowledge Discovery Processes -- 1.3.1 First Attempt to Generalize Steps -- Research-Based Methodology -- 1.3.2 Industry-Based Standard -- the Success of CRISP-DM
505 8 $a 1.3.3 Proprietary Methodologies -- Usage of Speci c Tools -- 1.3.4 Methodologies in Big Data Context -- 1.4 Methodologies in Action -- 1.4.1 Standardization and Automation of Processes -- Process Models -- 1.4.2 Understanding Each Other -- Semantic Models -- 1.4.2.1 Example -- EXPO -- 1.4.2.2 Example -- OntoDM -- 1.4.3 Knowledge Discovery Processes in Astro/Geo Context -- 1.4.3.1 Process Modeling Aspects -- 1.4.3.2 Ontology-Related Aspects -- References -- 2 Historical Background of Big Data in Astro and Geo Context -- 2.1 History of Big Data and Astronomy
505 8 $a 2.1.1 Big Data Before Printing and the Computer Age -- 2.1.2 The Printing and Technological Renaissance Revolution -- 2.2 Big Data and Meteorology: a Long History -- 2.2.1 Early Meteorology -- 2.2.2 Birth of International Synoptic Meteorology -- 2.2.3 Next Step: Extension of Data Collection to the Entire Globe -- References -- Part II: Information -- 3 AstroGeoInformatics: From Data Acquisition to Further Application -- 3.1 Introduction -- 3.2 Background -- 3.3 RemoteSensing -- 3.3.1 Passive Sensing -- 3.3.2 Active Sensing -- 3.4 Big Data in Astro- and Geoinformatics
505 8 $a 3.5 From Data Acquisition to Applications -- 3.6 Galileo Applications -- 3.7 Galileo and Smart Cities -- 3.8 Conclusion -- References -- 4 Synergy in Astronomy and Geosciences -- 4.1 Introduction -- 4.1.1 Basic Data Operations -- 4.1.2 Coordinate Transformations -- 4.1.3 Distance Measurements -- 4.1.4 One-Dimensional Series -- 4.2 State of the Art: VESPA Initiative of Bringing Together IVOA, IPDA (PDS), and OGC -- 4.2.1 Standards and Software -- 4.2.2 VESPA -- VirtualObservatory for Planetary Science -- 4.3 Case Studies: Interoperability of Virtual Observatory and Geographical Information Systems
505 8 $a 4.3.1 Geographical Data and Virtual Observatory -- 4.3.2 Astronomical Data and Geographical Information Systems -- 4.4 Perspectives and Possibilities -- 4.5 Conclusions -- References -- 5 Surveys, Catalogues, Databases, and Archivesof Astronomical Data -- 5.1 Introduction -- 5.2 From the First Star Photographic Catalogues to the Modern Digital Sky Surveys. Optical and Near-Infrared Astronomy -- 5.2.1 First Important Visual Surveys and Catalogues -- 5.2.2 PhotographicObservations. Stellar and Extragalactic Surveys -- 5.2.3 Spectral Photographic Surveys -- 5.2.4 CCD Surveys
650 0 $a Astronomy $x Data processing. $3 671941
650 0 $a Big data. $3 981821
650 0 $a Geoinformatics. $3 1247057
655 0 $a Electronic books. $2 local $3 554714
700 1 $a Skoda, Petr. $3 1343790
700 1 $a Adam, Fathalrahman. $3 1343791
856 4 0 $u https://www.sciencedirect.com/science/book/9780128191545