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Books on the topic 'Exploitation of public data'

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Author: Grafiati

Published: 23 September 2022

Last updated: 28 January 2023

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1

Chang, Chein-I., ed. Hyperspectral Data Exploitation. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/0470124628.

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2

Akerkar, Rajendra, ed. Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48099-8.

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3

Pužman, Josef, and Boris Kubín. Public Data Networks. London: Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-1737-7.

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4

GIS and public data. Clifton Park, N.Y: Thomson/Delmar Learning, 2004.

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5

Rabin, Jack. Public budgeting laboratory: Data sourcebook. 2nd ed. Athens, Ga: Carl Vinson Institute of Government, University of Georgia, 1987.

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6

1949-, Hildreth W. Bartley, and Miller Gerald, eds. Public budgeting laboratory: Data sourcebook. 2nd ed. Athens, Ga: Carl Vinson Institute of Government, University of Georgia, 1996.

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7

Chen, Jeffrey C., Edward A. Rubin, and Gary J. Cornwall. Data Science for Public Policy. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71352-2.

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8

Jarman, Holly, and Luis F. Luna-Reyes, eds. Private Data and Public Value. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27823-0.

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9

Eggensperger, Jim, and Natalie Redcross. Data-Driven Public Relations Research. 1 Edition. | New York : Routledge, 2019.: Routledge, 2018. http://dx.doi.org/10.4324/9781315196688.

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10

Schreuder, Hans T. Data estimation and prediction for natural resources public data. [Fort Collins, Colo.?]: U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 1998.

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11

International, Pira. Commercial exploitation of Europe's public sector information: Executive summary. Luxembourg: Office for Official Publications of the European Communities, 2000.

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12

Cavanillas, José María. New Horizons for a Data-Driven Economy: A Roadmap for Usage and Exploitation of Big Data in Europe. Cham: Springer Nature, 2016.

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13

Program, Hawaii Health Surveillance. 1986 survey data. Honolulu, Hawaii (P.O. Box 3378, Honolulu 96801-9990): Hawaii State Dept. of Health, Research and Statistics Office, Office of Health Monitoring, 1989.

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14

Association, Public Library. Public Library Data Service: Statistical report. Chicago: Public Library Association, 1988.

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15

Syftestad, Eric P. Public water supply data book, 1985. [S.l.]: State of Wisconsin, Dept. of Natural Resources, Division of Environmental Standards, Public Water Supply Section, 1985.

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16

Bianchi, Giovanna. Public Powers, Private Powers, and the Exploitation of Metals for Coinage. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198777601.003.0029.

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In 1994, an article appeared in the Italian journal Archeologia Medievale, written by Chris Wickham and Riccardo Francovich, entitled ‘Uno scavo archeologico ed il problema dello sviluppo della signoria territoriale: Rocca San Silvestro e i rapporti di produzione minerari’. It marked a breakthrough in the study of the exploitation of mineral resources (especially silver) in relation to forms of power, and the associated economic structure, and control of production between the twelfth and thirteenth centuries. On the basis of the data available to archeological research at the time, the article ended with a series of open questions, especially relating to the early medieval period. The new campaign of field research, focused on the mining landscape of the Colline Metallifere in southern Tuscany, has made it possible to gather more information. While the data that has now been gathered are not yet sufficient to give definite and complete answers to those questions, they nevertheless allow us to now formulate some hypotheses which may serve as the foundations for broader considerations as regards the relationship between the exploitation of a fundamental resource for the economy of the time, and the main players and agents in that system of exploitation, within a landscape that was undergoing transformation in the period between the early medieval period and the middle centuries of the Middle Ages.

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17

Pearce, Jenny, ed. Child Sexual Exploitation: Why Theory Matters. Policy Press, 2019. http://dx.doi.org/10.1332/policypress/9781447351412.001.0001.

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The issue of child sexual exploitation (CSE) is firmly in the public spotlight internationally and in the UK, but just how well is it understood? To date, many CSE-related services have been developed in reaction to high profile cases rather than being designed more strategically. This book breaks new ground by considering how psychosocial, feminist and geo-environmental theories, amongst others, can improve practice understanding and interventions. It makes the case for a more thoughtful approach to CSE prevention and a greater use of different theoretical perspectives in the development and delivery of strategies and interventions. The book is an essential text for students and those planning strategic interventions and practice activities in social, youth and therapeutic work with young people, as it supports understanding of how CSE arises and how to challenge the nature of the abuse.

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18

Chang, Chein-I. Hyperspectral Data Exploitation: Theory and Applications. Wiley & Sons, Incorporated, John, 2007.

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19

Genome Exploitation Data Mining The Genome. Springer, 2011.

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20

Chang, Chein-I. Hyperspectral Data Exploitation: Theory and Applications. Wiley & Sons, Incorporated, John, 2006.

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21

Gustafson, J. Perry, John W. Snape, and Randy Shoemaker. Genome Exploitation: Data Mining the Genome. Springer, 2007.

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22

Chang, Chein-I. Hyperspectral Data Exploitation: Theory and Applications. Wiley-Interscience, 2007.

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23

Internet Marketing and Big Data Exploitation. Palgrave Macmillan, 2015.

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24

Chaston, I. Internet Marketing and Big Data Exploitation. Palgrave Macmillan, 2015.

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25

Chaston, I. Internet Marketing and Big Data Exploitation. Palgrave Macmillan Limited, 2015.

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26

Hyperspectral data exploitation: Theory and applications. Hoboken, NJ: Wiley-Interscience, 2007.

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27

McCracken, james. The Exploitation of Dictionary Data and Metadata. Edited by Philip Durkin. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199691630.013.36.

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28

(Editor), J. Perry Gustafson, Randy Shoemaker (Editor), and John W. Snape (Editor), eds. Genome Exploitation: Data Mining the Genome (Stadler Symposia). Springer, 2005.

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29

Akerkar, Rajendra. Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data. Springer, 2020.

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30

Akerkar, Rajendra. Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data. Springer International Publishing AG, 2021.

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31

American Public Opinion Data 1992 (American Public Opinion Data). Opinion Research Service, 1993.

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32

American Public Opinion Data, 1991 (American Public Opinion Data). Opinion Research Service, 1992.

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33

American Public Opinion Data 1999/Microfiche (American Public Opinion Data). Opinion Research Service, 2000.

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34

American Public Opinion Data 1996/Microfiche (American Public Opinion Data). Opinion Research Service, 1997.

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35

American Public Opinion Data 1997/Microfiche (American Public Opinion Data). Opinion Research Service, 1998.

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36

American Public Opinion Data 1998/Microfiche (American Public Opinion Data). Opinion Research Service, 1999.

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37

American Public Opinion Data, 1988/Microfiche (American Public Opinion Data). Opinion Research Service, 1989.

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38

American Public Opinion Data 1995/Microfiche (American Public Opinion Data). Opinion Research Service, 1996.

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39

American Public Opinion Data, 1989/Microfiche (American Public Opinion Data). Opinion Research Service, 1990.

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40

American Public Opinion Data, 1987/Microfiche (American Public Opinion Data). Opinion Research Service, 1988.

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41

American Public Opinion Data, 1990/Microfiche (American Public Opinion Data). Opinion Research Service, 1991.

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42

American Public Opinion Data 1993/Microfiche (American Public Opinion Data). Opinion Research Service, 1994.

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43

American Public Opinion Data 1994/Microfiche (American Public Opinion Data). Opinion Research Service, 1995.

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44

Williams, Sarah. Data Action: Using Data for Public Good. MIT Press, 2020.

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45

Williams, Sarah. Data Action: Using Data for Public Good. MIT Press, 2022.

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46

Ltd, Pira Intl. Commercial Exploitation of Europe's Public Sector Information. European Commission, 2000.

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47

Geological Survey (U.S.), ed. REx, Rapid Exploitation System. [Reston, Va.?]: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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48

Eggensperger, Jim, and Natalie Redcross. Data Driven Public Relations. Taylor & Francis Group, 2018.

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49

Public education data book. [Salt Lake City]: Office of the Legislative Fiscal Analyst, 1993.

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50

Eggensperger, Jim, and Natalie Redcross. Data Driven Public Relations. Taylor & Francis Group, 2018.

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