Books on the topic 'Objective data'

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

Coello, Carlos Artemio Coello, Satchidananda Dehuri, and Susmita Ghosh, eds. 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.

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

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

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

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

A, Hillison William, and Irwin Grady M, eds. Auditing & EDP: Objective questions and explanations. 3rd ed. Gainesville, Fla: Accounting Publications, 1988.

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

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

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

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.

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.

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

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.

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

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

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

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

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

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

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.

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.

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.

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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

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. Annadale, Va: CDM Federal Programs Corp., 1987.