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Title Knowledge discovery in big data from astronomy and Earth observation : astrogeoinformatics / edited by Petr Skoda, Fathalrahman Adam.

Imprint St. Louis, Mo : Elsevier, 2020.

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Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Description 1 online resource
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Note Includes index.
Contents 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
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
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 Remote Sensing -- 3.3.1 Passive Sensing -- 3.3.2 Active Sensing -- 3.4 Big Data in Astro- and Geoinformatics
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 -- Virtual Observatory for Planetary Science -- 4.3 Case Studies: Interoperability of Virtual Observatory and Geographical Information Systems
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 Archives of 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 Photographic Observations. Stellar and Extragalactic Surveys -- 5.2.3 Spectral Photographic Surveys -- 5.2.4 CCD Surveys
Subject Astronomy -- Data processing.
Big data.
Geoinformatics.
Données volumineuses.
Astronomy -- Data processing
Big data
Geoinformatics
Added Author Skoda, Petr.
Adam, Fathalrahman.
Other Form: Print version: 0128191546 9780128191545 (OCoLC)1104693062
ISBN 9780128191552 (electronic bk.)
0128191554 (electronic bk.)
9780128191545
0128191546
Standard No. AU@ 000067085502
UKMGB 019726183

 
    
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