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Books on the topic 'Objective data'

Author: Grafiati

Published: 29 June 2021

Last updated: 29 July 2025

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1

Gleim, Irvin N. Auditing & EDP: Objective questions and explanations. 2nd ed. Accounting Publications, 1985.

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2

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

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3

Gleim, Irvin N. Auditing & EDP: Objective questions and explanations. 4th ed. Gleim Publications, 1991.

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4

Gleim, Irvin N. Auditing & systems: Objective questions and explanations. 7th ed. Gleim Publications, 1997.

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5

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

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6

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

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7

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

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8

Coello, Carlos A. Coello. Advances in multi-objective nature inspired computing. Springer, 2010.

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9

Chakraborty, Sanjay, and Lopamudra Dey. Multi-objective, Multi-class and Multi-label Data Classification with Class Imbalance. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-9622-9.

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10

Franke, Richard H. Laplacian smoothing splines with generalized cross validation for objective analysis of meteorological data. 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. 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. Naval Postgraduate School, 1993.

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13

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

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14

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

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15

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

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16

Intelmann, Steven S. Automated, objective texture segmentation of multibeam echosounder data: Seafloor survey and substrate maps from James Island to Ozette Lake, Washington outer coast. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, National Marine Sanctuary Program, 2007.

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17

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. The Office, 1989.

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18

United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch, ed. 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. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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19

United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., ed. 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. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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20

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., and CDM Federal Programs Corporation, eds. Data quality objectives for remedial response activities. CDM Federal Programs Corp., 1987.

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21

Kannan, P., and Aeron Zentner. Determining Business Objectives and Planning Data Analytics Projects. SAGE Publications, Inc., 2021. http://dx.doi.org/10.4135/9781071866559.

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22

Information Systems Audit and Control Foundation., ed. Control objectives for net centric technology. The Foundation, 1999.

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23

United States. Environmental Protection Agency. Quality Assurance Division., ed. Data quality objectives process for hazardous waste site investigations. U.S. Environmental Protection Agency, Office of Environmental Information, 2000.

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24

United States. Environmental Protection Agency. Office of Emergency and Remedial Response., United States. Office of Waste Programs Enforcement., and CDM Federal Programs Corporation, eds. Data quality objectives for remedial response activities: Development process. The Agency, 1987.

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25

United States. Environmental Protection Agency. Office of Emergency and Remedial Response., United States. Office of Waste Programs Enforcement., and CDM Federal Programs Corporation, eds. Data quality objectives for remedial response activities: Development process. The Agency, 1987.

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26

Zuenkova, Yuliya, and Milan Stamenkovich. Cluster analysis and MANOVA in marketing and economic research. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2186588.

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The monograph introduces the reader to the basics of using multidimensional statistical methods — cluster analysis and MANOVA analysis — in marketing and economic research. Data is an indispensable product of any activity and the basis for making objective management decisions. Big data has had a significant impact on marketing and the development of its tools. The collection, accumulation and processing of information about customers and the market is the basis of information support for marketing activities. Multidimensional statistics methods, cluster analysis and MANOVA analysis in particu

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27

Abdulhamid, Hussein. Baseline follow up data report: Education reform for the knowledge economy (ERFKEI). National Center for Human Resources Development, 2009.

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28

Collins, Lionel. Audit et contrôle interne: Principes, objectifs et pratiques. 3rd ed. Dalloz, 1986.

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29

Information Management Forum. Focus Group. Meeting and Information Management Forum, eds. The realities of the Internet & Intranet: Networking, objectives, uses & knowledge sharing. Information Management Forum, 1997.

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30

Wilson, Mark. Objective Measurement: Theory Into Practice, Volume 2 (Objective Measurement: Theory Into Practice). Ablex Publishing, 1994.

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31

Lieberman, Gerald J., Ingram Olkin, and Elliot R. Lieberman. Multi-Objective Programming in the USSR. Elsevier Science & Technology Books, 2014.

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32

Dehuri, Satchidananda, Carlos Coello Coello, and Susmita Ghosh. Swarm Intelligence for Multi-Objective Problems in Data Mining. Springer London, Limited, 2009.

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33

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

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34

Ghosh, Ashish, Satchidananda Dehuri, and Susmita Ghosh. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases. Springer Berlin / Heidelberg, 2010.

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35

Ghosh, Ashish, Satchidananda Dehuri, and Susmita Ghosh. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases. Springer, 2008.

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36

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

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37

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

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38

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

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39

Nedjah, Nadia, Luiza de Macedo Mourelle, and Heitor Silvério Lopes. Evolutionary Multi-Objective System Design. Taylor & Francis Group, 2020.

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40

Computer Science and Telecommunications Board, National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Lynette I. Millett, and 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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41

Computer Science and Telecommunications Board, National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Lynette I. Millett, and 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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42

Computer Science and Telecommunications Board, National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Lynette I. Millett, and 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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43

Computer Science and Telecommunications Board, National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Lynette I. Millett, and 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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44

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

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45

Boudreau, Joseph F., and 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 typi

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46

Nedjah, Nadia, Heitor Silverio Lopes, and Luiza De Macedo Mourelle. Evolutionary Multi-Objective System Design: Theory and Applications. Taylor & Francis Group, 2020.

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47

Nedjah, Nadia, Heitor Silverio Lopes, and Luiza De Macedo Mourelle. Evolutionary Multi-Objective System Design: Theory and Applications. Taylor & Francis Group, 2020.

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48

Evolutionary Multi-Objective System Design: Theory and Applications. Taylor & Francis Group, 2020.

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49

Fabregat, Ramon, and Yezid Donoso. Multi-Objective Optimization in Computer Networks Using Metaheuristics. Taylor & Francis Group, 2010.

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50

Fabregat, Ramon, and Yezid Donoso. Multi-Objective Optimization in Computer Networks Using Metaheuristics. AUERBACH, 2007.

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