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1

Coello, Carlos A. Coello. Swarm intelligence for multi-objective problems in data mining. Berlin: Springer Verlag, 2009.

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2

Coello, Carlos Artemio Coello, Satchidananda Dehuri und Susmita Ghosh, Hrsg. Swarm Intelligence for Multi-objective Problems in Data Mining. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03625-5.

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3

A, Hillison William, Hrsg. Auditing & EDP: Objective questions and explanations. 5. Aufl. Gainesville, Fla: Gleim Publications, 1992.

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4

Lieberman, Elliot R. Multi-objective programming in the USSR. Boston: Academic Press, 1991.

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5

Gleim, Irvin N. Auditing & EDP: Objective questions and explanations. 4. Aufl. Gainesville, Fla: Gleim Publications, 1991.

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6

Gleim, Irvin N. Auditing & EDP: Objective questions and explanations. 2. Aufl. Gainesville, Fla: Accounting Publications, 1985.

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7

A, Hillison William, und Irwin Grady M, Hrsg. Auditing & EDP: Objective questions and explanations. 3. Aufl. Gainesville, Fla: Accounting Publications, 1988.

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8

Lieberman, Elliot R. Multi-objective programming in the USSR. Boston: Academic, 1991.

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9

Gleim, Irvin N. Auditing & systems: Objective questions and explanations. 7. Aufl. Gainesville, Fla: Gleim Publications, 1997.

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10

Franke, Richard H. Laplacian smoothing splines with generalized cross validation for objective analysis of meteorological data. Monterey, California: Naval Postgraduate School, 1985.

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11

Doyle, James David. Verification of mesoscale objective analyses of VAS and Rawinsonde data using the March 1982 AVE/VAS special network data. University Park, PA: Dept. of Meteorology, Pennsylvania State University, 1987.

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12

Chumbinho, Rogrio Paulo Antunes. Objective analysis of a coastal ocean eddy using satellite AVHRR and in situ hydrographic data. Monterey, Calif: Naval Postgraduate School, 1993.

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13

Company, British Petroleum. BP statistical review of world energy: A consistent and objective series of historical energy market data. London: British Petroleum Company, 2003.

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14

Office, General Accounting. Aircrew training: Developing objective data to support flying hour programs : report to the chairman, Subcommittee on Readiness, Committee on Armed Serrvice, House of Representatives. Washington, D.C: The Office, 1989.

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15

Collins, Lionel. Audit et contrôle interne: Principes, objectifs et pratiques. 3. Aufl. Paris: Dalloz, 1986.

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16

Indonesia. Badan Penyehatan Perbankan Nasional. IBRA program for meeting objectives prior to IBRA sunset date, Feb. 2004. Jakarta: Indonesian Bank Restructuring Agency, 2001.

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17

Harper, Sam. Methods for measuring cancer disparities: Using data relevant to Healthy People 2010 cancer-related objectives. [Washington, D.C.]: National Cancer Institute, 2005.

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18

Daggett, Willard R. The overcrowded curriculum: Using data to determine essential skills. Rexford, N.Y: International Center for Leadership in Education, 1999.

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19

Comeaux, Eddie. Making the connection: Data-informed practices in academic support centers for college athletes. Charlotte, NC: Information Age Publishing, Inc., 2015.

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20

Baglioni, Lorenzo Grifone, Hrsg. Scegliere di partecipare. Florence: Firenze University Press, 2011. http://dx.doi.org/10.36253/978-88-6453-284-4.

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The study concentrates on aspects of juvenile participation in the Florentine territory, taking into consideration different forms of political engagement, from that of the traditional party type to that which is expressed through citizen movements and committees, through to the new forms of engaged governance. While the generational data appear to show signs of little emancipation, frequently involving lack of interest, egoism and refuge in a culture of dependence, the young activists – with their direct engagement – contribute to infuse new life into the dynamics of politics. The dimension of active citizenship has important repercussions on the political culture of young people and on their experience of society. Bringing to light the underlying reasons and the specific features is the objective of this work which explores in a qualitative sense one of the salient issues of the previous sample survey Una generazione che cambia. Civismo, solidarietà e nuove incertezze dei giovani della provincia di Firenze (Firenze University Press 2007) edited by the same author.
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21

Granato, Gregory E. Data quality objectives and criteria for basic information, acceptable uncertainty, and quality-assurance and quality-control documentation. Marlborough, Mass: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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22

Granato, Gregory E. Data quality objectives and criteria for basic information, acceptable uncertainty, and quality-assurance and quality-control documentation. Marlborough, Mass: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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23

Raes, F. Monitoring of environmental radioactivity in the European Communities: Inventory of methods and development of data quality objectives. Luxembourg: Commission of the European Communities, 1991.

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24

Mark, Wilson, Engelhard George 1953-, Draney Karen und International Objective Measurement Workshop, Hrsg. Objective measurement: Theory into practice. Norwood, N.J: Ablex Pub. Corp., 1992.

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25

Dehuri, Satchidananda, Carlos Coello Coello und Susmita Ghosh. Swarm Intelligence for Multi-objective Problems in Data Mining. Springer, 2012.

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26

1966-, Ghosh Ashish, Dehuri Satchidananda und Ghosh Susmita, Hrsg. Multi-objective evolutionary algorithms for knowledge discovery from databases. Berlin: Springer, 2008.

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27

Zarra, Marcus S. Core Data in Objective-C: Data Storage and Management for iOS and OS X. Pragmatic Bookshelf, 2016.

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28

Objective Data from Fleet Battle Experiment Foxtrot, Golf, and Hotel. Storming Media, 2001.

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29

Wilson, Mark. Objective Measurement: Theory Into Practice, Volume 1. Ablex Publishing, 1992.

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30

Objective Measurement: Theory Into Practice, Volume 2. Ablex Publishing, 1994.

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31

Computer Science and Telecommunications Board, National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Lynette I. Millett und Committee on Cyber Resilience Workshop Series. Recoverability As a First-Class Security Objective: Proceedings of a Workshop. National Academies Press, 2018.

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32

Boudreau, Joseph F., und Eric S. Swanson. Data modeling. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0016.

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A variety of techniques for extracting information from data are presented, from pedestrian approaches such as the centuries old linear least-squares fit, to elegant binned and unbinned likelihood fits. A treatment of statistical combination of data leads to an introduction to the powerful Kalman filter approach, used to determine optimal estimates of deterministic-stochastic systems. In experimental physics the Kalman filter is used estimate trajectories from data, but it also finds applications in industrial process control, and in the aeronautics and robots industries. These techniques typically rely on either analytic or numerical optimization of an objective function. Orthogonal series density estimation, a Fourier technique, is also discussed.
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33

Hillison, William A., und Irvin N. Gleim. Auditing and Edp Objective Questions and Explanations (The Gleim series). 5. Aufl. Accounting Pubns, 1990.

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34

Zaleski, John R. Clinical Surveillance: The Actionable Benefits of Objective Medical Device Data for Critical Decision-Making. Productivity Press, 2020.

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35

Clinical Surveillance: The Actionable Benefits of Objective Medical Device Data for Critical Decision-Making. Productivity Press, 2020.

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36

Zaleski, John R. Clinical Surveillance: The Actionable Benefits of Objective Medical Device Data for Critical Decision-Making. Productivity Press, 2020.

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37

Zaleski, John R. Clinical Surveillance: The Actionable Benefits of Objective Medical Device Data for Critical Decision-Making. Productivity Press, 2020.

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38

van Schalkwyk, François, Stefaan G. Verhulst, Gustavo J. Magalhães, Juan Pane und Johanna Walker. The Social Dynamics of Open Data. African Minds, 2017. http://dx.doi.org/10.47622/978-1-928331-56-8.

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The Social Dynamics of Open Data is a collection of peer reviewed papers presented at the 2nd Open Data Research Symposium (ODRS) held in Madrid, Spain, on 5 October 2016. Research is critical to developing a more rigorous and fine-combed analysis not only of why open data is valuable, but how it is valuable and under what specific conditions. The objective of the Open Data Research Symposium and the subsequent collection of chapters published here is to build such a stronger evidence base. This base is essential to understanding what open datas impacts have been to date, and how positive impacts can be enabled and amplified. Consequently, common to the majority of chapters in this collection is the attempt by the authors to draw on existing scientific theories, and to apply them to open data to better explain the socially embedded dynamics that account for open datas successes and failures in contributing to a more equitable and just society.
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39

Objective Medical Decision Mak (Lecture Notes in Medical Informatics). Springer, 1986.

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40

Zhang, Qian. Transparent Knowledge Discovery from Data: The Power of Fuzzy Modelling and Nature-Inspired Multi-Objective Optimisation. VDM Verlag Dr. Müller, 2010.

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41

D, Tsiftsis D., Hrsg. Objective medical decision making: Workshop, Crete, Greece, April 30 - May 5, 1985 : proceedings. Berlin: springer-Verlag, 1986.

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42

Objective Coordination in Multi-Agent System Engineering: Design and Implementation (Lecture Notes in Computer Science). Springer, 2001.

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43

D, Tsiftsis D., Hrsg. Objective medical decision making: Systems approach in disease : workshop, Crete, Greece, April 30 - May 5, 1985 : proceedings. Berlin: Springer-Verlag, 1986.

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44

Zdziarski, Jonathan. Hacking and Securing iOS Applications: Stealing Data, Hijacking Software, and How to Prevent It. O'Reilly Media, Incorporated, 2012.

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45

Gert, Joshua. Color Constancy. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198785910.003.0006.

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This chapter presents an account of color constancy that explains a well-known division in the data from color-constancy experiments: So-called “paper matches” exhibit a much higher level of constancy than so-called “hue-saturation matches.” It argues that the visual representation of objective color is the representation of something associated with a function from viewing circumstances to color appearances. Thus, a relatively robust constancy in the representation of objective color is perfectly consistent with a relatively less robust level of constancy in color appearance. The account also endorses Hilbert’s idea that we can represent the color of the illumination on a surface as well as the color of the surface itself. Finally, the chapter addresses an objection to the hybrid view that notes our capacity to make very fine-grained distinctions between the objective colors of surfaces.
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46

Jovanovic, Tanja, und Seth Davin Norrholm. Human Psychophysiology and PTSD. Herausgegeben von Israel Liberzon und Kerry J. Ressler. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190215422.003.0015.

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Psychophysiological measures provide useful tools for investigating neurobiological mechanisms of trauma-related sequalae. In addition, they can serve as objective biological assessments of symptom severity in clinical research. This chapter describes the methods for collection of psychophysiological measures. These include muscle contractions (startle), electrodermal skin conductance, heart rate, and heart rate variability (HRV) at baseline, under stress, and following Pavlovian fear conditioning. These approaches are important both for understanding biology as well as for providing objective biomarkers that can be compared translationally from animals to humans. It also reviews the literature that has used these measures in PTSD. The evidence to date strongly suggests that these data provide robust correlates of PTSD severity.
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47

United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch, Hrsg. Modification of a variational objective analysis model for new equations for pressure gradient and vertical velocity in the lower troposphere and for spatial resolution and accuracy of satellite data. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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48

United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., Hrsg. Modification of a variational objective analysis model for new equations for pressure gradient and vertical velocity in the lower troposphere and for spatial resolution and accuracy of satellite data. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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49

Di Ventra, Massimiliano. Natural Phenomena and the Primacy of Experiment. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198825623.003.0004.

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50

United States. Environmental Protection Agency. Office of Emergency and Remedial Response., United States. Environmental Protection Agency. Office of Solid Waste and Emergency Response., United States. Office of Waste Programs Enforcement. und CDM Federal Programs Corporation, Hrsg. Data quality objectives for remedial response activities. Annadale, Va: CDM Federal Programs Corp., 1987.

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