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010 a| 2017946969;

020 a| 9780128124437q| (paperback);

020 a| 0128124431q| (paperback);

035 a| (WaSeSS)ssj0002027022;

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049 a| EREEa| NEHH;

050 00 a| S494.5.D3b| F43 2018;

082 04 a| 630.2852| 23;

245 00 a| Federal data scienceh| [electronic resource] :b| transforming government and agricultural policy using artificial intelligence /c| edited by Feras A. Batarseh, Ruixin Yang.;

260 a| London, United Kingdom ;a| San Diego, CA, USA :b| Academic Press is an imprint of Elsevier,c| [2018];

300 a| xxv, 229 pages :b| illustrations ;c| 23 cm;

504 a| Includes bibliographical references and index.;

505 00 t| A day in the life of a federal analyst and a federal contractor /r| Feras A. Batarseh --t| Disseminating government data effectively in the age of open data /r| Mirvat Sewadeh and Jeffrey Sisson --t| Machine learning for the government : challenges and statistical difficulties /r| Samuel Eisenberg --t| Making the case for artificial intelligence at government : guidelines to transforming federal software systems /r| Feras A. Batarseh and Ruixin Yang --t| Agricultural data analytics for environmental monitoring in Canada /r| Ted Huffman [and 5 others] --t| France's governmental bib data analytics : from predictive to prescriptive using R /r| Henri Laude --t| Agricultural remote sensing and data science in China /r| Zhongxin Chen [and 3 others] --t| Data visualization of complex information through mind mapping in Spain and the European Union /r| Jose M. Guerrero --t| A deployment life cycle model for agricultural data systems using Kansei engineering and association rules /r| Feras A. Batarseh and Ruixin Yang --t| Federal big data analytics in the health domain : an ontological approach to data interoperability /r| Erik W. Kuiler and Connie L. McNeely --t| Geospatial data discovery, management, and analysis at National Aeronautics and Space Administration (NASA) /r| Manzhu Yu and Min Sun --t| Intelligent automation tools and software engines for managing federal agricultural data /r| Feras A. Batarseh [and 3 others] --t| Transforming governmental data science teams in the future /r| Jay Gendron [and 3 others].;

506 a| Available only to authorized users.;

538 a| Mode of access: World Wide Web;

650 0 a| Artificial intelligencex| Agricultural applications.=| ^A856677;

650 0 a| Agriculturex| Data processing.=| ^A318590;

650 7 a| Agriculturex| Data processing.2| fast0| (OCoLC)fst00801402;

650 7 a| Artificial intelligencex| Agricultural applications.2| fast0| (OCoLC)fst00817248;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Batarseh, Feras.?| UNAUTHORIZED;

700 1 a| Yang, Ruixin.?| UNAUTHORIZED;

856 40 z| Full text available from eBook - Agricultural, Biological, and Food Sciences 2018u| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Fbook%2F9780128124437;

947 a| (OCoLC)on1018176959;

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Federal data science transforming government and agricultural policy using artificial intelligence / edited by Feras A. Batarseh, Ruixin Yang.

Other author	Batarseh, Feras.
Other author	Yang, Ruixin.
Format	Electronic
Publication Info	London, United Kingdom ; San Diego, CA, USA : Academic Press is an imprint of Elsevier, [2018]
Description	xxv, 229 pages : illustrations ; 23 cm
Supplemental Content	Full text available from eBook - Agricultural, Biological, and Food Sciences 2018
Subjects	Artificial intelligence--Agricultural applications. Agriculture--Data processing.

Contents	A day in the life of a federal analyst and a federal contractor / Feras A. Batarseh -- Disseminating government data effectively in the age of open data / Mirvat Sewadeh and Jeffrey Sisson -- Machine learning for the government : challenges and statistical difficulties / Samuel Eisenberg -- Making the case for artificial intelligence at government : guidelines to transforming federal software systems / Feras A. Batarseh and Ruixin Yang -- Agricultural data analytics for environmental monitoring in Canada / Ted Huffman [and 5 others] -- France's governmental bib data analytics : from predictive to prescriptive using R / Henri Laude -- Agricultural remote sensing and data science in China / Zhongxin Chen [and 3 others] -- Data visualization of complex information through mind mapping in Spain and the European Union / Jose M. Guerrero -- A deployment life cycle model for agricultural data systems using Kansei engineering and association rules / Feras A. Batarseh and Ruixin Yang -- Federal big data analytics in the health domain : an ontological approach to data interoperability / Erik W. Kuiler and Connie L. McNeely -- Geospatial data discovery, management, and analysis at National Aeronautics and Space Administration (NASA) / Manzhu Yu and Min Sun -- Intelligent automation tools and software engines for managing federal agricultural data / Feras A. Batarseh [and 3 others] -- Transforming governmental data science teams in the future / Jay Gendron [and 3 others].
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2017946969
ISBN	9780128124437 (paperback)
ISBN	0128124431 (paperback)

Federal data science transforming government and agricultural policy using artificial intelligence / edited by Feras A. Batarseh, Ruixin Yang.

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