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Libri sul tema "Attributes data"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 1 febbraio 2022

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1

Scarpa, Riccardo. Reliability of benefit value transfers from contingent valuation data with forest-specific attributes. Milan: Fondazione Eni Enrico Mattei, 2000.

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2

Byrne, John C. A data structure for describing sampling designs to aid in compilation of stand attributes. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1988.

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3

Byrne, John C. A data structure for describing sampling designs to aid in compilation of stand attributes. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1988.

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4

Muus, Kyle J. Health-related attributes of North Dakota adults with disabilities: Analysis of 2001-2007 BRFSS data. Minot, ND: North Dakota Disability Health Project, North Dakota Center for Persons with Disabilities, Minot State University, 2009.

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5

Lambaounas, Andreas. Data mining by attribute oriented induction. Manchester: UMIST, 1994.

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6

Waite, William M. Generator for attributed grammars: Abstract data type. Sankt Augustin, W.-Germany: Gesellschaft f"ur Mathematik und Datenverarbeitung, 1986.

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7

Wang, Y. Richard. Toward quality data: An attribute-based approach. Cambridge, MA, USA: Productivity From Information Technology, "PROFIT" Research Initiative, Sloan School of Management, Massachusetts Institute of Technology, 1992.

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8

Reeve, Derek E. Attribute data and database theory: Course notes. 4a ed. Manchester: Manchester Metropolitan University Department of Environmental and Geographical Sciences, 1994.

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9

Prediger, D. J. Linking occupational attribute preferences to occupations. Iowa City, Iowa: American College Testing Program, 1996.

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10

Evangeliou, N. Simulating statistical quality control procedures for handling attribute data. Manchester: UMIST, 1996.

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11

Kaplan, Simon M. Incremental attribute evaluation in distributed language-based environments. Urbana, IL (1304 W. Springfield Ave., Urbana 61801): Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1986.

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12

Yang, Xibei. Incomplete Information System and Rough Set Theory: Models and Attribute Reductions. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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13

Sympson, William Goebel Anthony. Graphic interface for Attribute-Based Data Language queries from a personal computer to the Multi-Lingual, Multi-Model, Multi-Backend Database System over an ethernet network. Monterey, Calif: Naval Postgraduate School, 1989.

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14

Choi, Seok Cheol. Determination of network attributes from a high resolution terrain data base. 1987.

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15

Walter, Robert A., e Leonore Katz-Rhoads. Nhtsa Vehicle Safety Attributes Data Book (Sae Technical Papers Series, No. 870347). Society of Automotive Engineers, 1987.

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16

United States. National Aeronautics and Space Administration., a cura di. A Jupiter Data Analysis Program (JDAP) research grant on wave accessibility and attributes: Final report. Iowa City, Iowa: Dept. of Physics and Astronomy, University of Iowa, 1988.

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17

United States. Federal Highway Administration. Office of Highway Information Management. e United States. Federal Highway Administration., a cura di. Special reports on trip and vehicle attributes: Based on data from the 1990 nationwide personal transportation survey (NPTS). [Washington, D.C.]: U.S. Dept. of Transportation, Federal Highway Administration, 1995.

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18

Special reports on trip and vehicle attributes: Based on data from the 1990 Nationwide Personal Transportation Survey (NPTS). [Washington, D.C.?]: U.S. Dept. of Transportation, Federal Highway Administration, 1995.

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19

Geologic-point attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Menlo Park, CA]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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20

Geologic-point attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Menlo Park, CA]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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21

Geologic-polygon attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Tucson, AZ]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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22

C, Matti Jonathan, Mojave Water Agency (Calif.) e Geological Survey (U.S.), a cura di. Geologic-point attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Menlo Park, CA]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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23

Geologic-line attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Menlo Park, CA]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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24

C, Matti Jonathan, Mojave Water Agency (Calif.) e Geological Survey (U.S.), a cura di. Geologic-line attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Menlo Park, CA]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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25

Geologic-polygon attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Tucson, AZ]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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26

C, Matti Jonathan, Mojave Water Agency (Calif.) e Geological Survey (U.S.), a cura di. Geologic-point attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Menlo Park, CA]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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27

Geologic-point attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Menlo Park, CA]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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28

C, Matti Jonathan, Mojave Water Agency (Calif.) e Geological Survey (U.S.), a cura di. Geologic-point attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Menlo Park, CA]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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29

C, Matti Jonathan, Mojave Water Agency (Calif.) e Geological Survey (U.S.), a cura di. Geologic-line attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Menlo Park, CA]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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30

C, Matti Jonathan, Mojave Water Agency (Calif.) e Geological Survey (U.S.), a cura di. Geologic-line attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Menlo Park, CA]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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31

C, Matti Jonathan, Mojave Water Agency (Calif.) e Geological Survey (U.S.), a cura di. Geologic-line attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Menlo Park, CA]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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32

C, Matti Jonathan, Mojave Water Agency (Calif.) e Geological Survey (U.S.), a cura di. Geologic-line attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Menlo Park, CA]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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33

C, Matti Jonathan, Mojave Water Agency (Calif.) e Geological Survey (U.S.), a cura di. Geologic-polygon attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Tucson, AZ]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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34

C, Matti Jonathan, Mojave Water Agency (Calif.) e Geological Survey (U.S.), a cura di. Geologic-line attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Menlo Park, CA]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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35

C, Matti Jonathan, Mojave Water Agency (Calif.) e Geological Survey (U.S.), a cura di. Geologic-polygon attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Tucson, AZ]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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36

Geologic-polygon attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Tucson, AZ]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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37

C, Matti Jonathan, Mojave Water Agency (Calif.) e Geological Survey (U.S.), a cura di. Geologic-point attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Menlo Park, CA]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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38

C, Matti Jonathan, Mojave Water Agency (Calif.) e Geological Survey (U.S.), a cura di. Geologic-polygon attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Tucson, AZ]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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39

C, Matti Jonathan, Mojave Water Agency (Calif.) e Geological Survey (U.S.), a cura di. Geologic-polygon attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Tucson, AZ]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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40

C, Matti Jonathan, Mojave Water Agency (Calif.) e Geological Survey (U.S.), a cura di. Geologic-polygon attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Tucson, AZ]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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41

Geologic-line attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Menlo Park, CA]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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42

C, Matti Jonathan, Mojave Water Agency (Calif.) e Geological Survey (U.S.), a cura di. Geologic-point attributes for digital geologic-map data bases produced by the Southern California Areal Mapping Project (SCAMP), Version 1.0. [Menlo Park, CA]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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43

Inc, Bergwall Productions. Spc of Attribute Data. Delmar Pub, 1994.

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44

Ballon, Paola, e Jorge Dávalos. Inequality and the changing nature of work in Peru. UNU-WIDER, 2020. http://dx.doi.org/10.35188/unu-wider/2020/925-9.

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Abstract (sommario):
This paper identifies the socioeconomic drivers of earnings inequality in Peru in the period 2004–18. Using the ENAHO household surveys and data on routine task content of occupations, we apply inequality decomposition methods to the real earnings distribution, its quantiles, and the Gini index. We find that in this period inequality has reduced, with great improvement attributed to reductions in the gender wage gap and macroeconomic factors. However, we did not find strong evidence for factors related to changes in workers’ attributes or shifts in job characteristics, except for a slight enhancing effect of the task content of occupations, which increases in importance as we move from ‘poorer’ to ‘richer’ deciles.
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45

United States. Bureau of Land Management. Division of Data Management. Data collection attribute definitions version 2.0. [Denver, Colo.] : Bureau of Land Management, 1991.

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46

Ncc. SSADM Version 4 Forms: Attribute/data Item Description. Blackwell Publishers, 1990.

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47

Aarts, Kees, Carolien van Ham e Jacques Thomassen. Modernization, Globalization, and Satisfaction with Democracy. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198793717.003.0003.

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Abstract (sommario):
This chapter tests the validity of the major propositions of modernization and globalization theories. Modernization theory attributes legitimacy decline to the socioeconomic and cultural transformation of advanced industrial societies after the Second World War, leading to value change and cognitive mobilization among citizens, while globalization theory attributes legitimacy decline to the negative consequences of (economic) globalization for citizens of lower socioeconomic status in advanced industrial societies. This chapter evaluates the empirical evidence for the effects of individual modernization and of economic globalization on political support, differentiating between citizens of lower and higher socioeconomic status. Using Eurobarometer data on political support from 1973 to 2015, the authors show that political support in most countries has increased among both the higher educated and lower educated. To the extent that there is support for the globalization thesis, the increase in satisfaction with democracy has been less pronounced among the lower educated, generating a widening “satisfaction gap.”
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48

Camenisch, Jan, Kai Rannenberg e Ahmad Sabouri. Attribute-based Credentials for Trust: Identity in the Information Society. Springer, 2014.

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49

Tran, Thanh V., Tam Nguyen e Keith Chan. Assessing and Testing Cross-Cultural Measurement Equivalence. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780190496470.003.0004.

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Abstract (sommario):
A cross-cultural comparison can be misleading for two reasons: (1) comparison is made using different attributes and (2) comparison is made using different scale units. This chapter illustrates multiple statistical approaches to evaluating the cross-cultural equivalence of the research instruments: data distribution of the items of the research instrument, the patterns of responses of each item, the corrected item–total correlation, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and reliability analysis using the parallel test and tau-equivalence test. Equivalence is the fundamental issue in cross-cultural research and evaluation.
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50

Pittock, Murray. Enlightenment in a Smart City. Edinburgh University Press, 2019. http://dx.doi.org/10.3366/edinburgh/9781474416597.001.0001.

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Abstract (sommario):
This is a study of Enlightenment in Edinburgh like no other. Using data and models provided by urban innovation and Smart City theory, it pinpoints the distinctive features that made Enlightenment in the Scottish capital possible. In a journey packed with evidence and incident, Murray Pittock explores various civic networks – such as the newspaper and printing businesses, the political power of the gentry and patronage networks, as well as the pub and coffee-house life – as drivers of cultural change. His analysis reveals that the attributes of civic development, which lead to innovation and dynamism, were at the heart of what made Edinburgh a smart city of 1700.
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