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Knowledge discovery in big data from...

Skoda, Petr.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Knowledge discovery in big data from astronomy and Earth observation/ edited by Petr Skoda, Fathalrahman Adam.
其他題名:	astrogeoinformatics /
其他作者:	Skoda, Petr.
出版者:	St. Louis, Mo :Elsevier, : 2020.,
面頁冊數:	1 online resource.
附註:	Includes index.
內容註:	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
內容註:	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
內容註:	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
內容註:	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
內容註:	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
標題:	Astronomy - Data processing. -
電子資源:	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:

816366
Astronomy
--Data processing.Index Terms--Genre/Form:

542853
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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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
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