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Books on the topic 'Data retrieve'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Pierre-Yves, Deschamps, and United States. National Aeronautics and Space Administration., eds. Inversion schemes to retrieve atmospheric and oceanic parameters from SeaWiFS data. National Aeronautics and Space Administration, 1997.

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2

Inc, ebrary, ed. NHibernate 2 beginner's guide: Rapidly retrieve data from your database into .NET objects. Packt Open Source, 2010.

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3

Sinclair, Ian Robertson. Using Sage Retrieve III: Managing your data on the IBM PC and compatibles. Sigma, 1990.

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4

Daniel, Schlapfer, and United States. National Aeronautics and Space Administration., eds. Atmospheric pre-corrected differential absorption techniques to retrieve columnar water vapor: Application to AVIRIS 91/95 data. National Aeronautics and Space Administration, 1996.

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5

Daniel, Schlapfer, and United States. National Aeronautics and Space Administration., eds. Atmospheric pre-corrected differential absorption techniques to retrieve columnar water vapor: Application to AVIRIS 91/95 data. National Aeronautics and Space Administration, 1996.

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6

Daniel, Schlapfer, and United States. National Aeronautics and Space Administration., eds. Atmospheric pre-corrected differential absorption techniques to retrieve columnar water vapor: Application to AVIRIS 91/95 data. National Aeronautics and Space Administration, 1996.

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7

Daniel, Schlapfer, and United States. National Aeronautics and Space Administration., eds. Atmospheric pre-corrected differential absorption techniques to retrieve columnar water vapor: Application to AVIRIS 91/95 data. National Aeronautics and Space Administration, 1996.

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8

Müller, Jürgen. A Real-Time In-Memory Discovery Service: Leveraging Hierarchical Packaging Information in a Unique Identifier Network to Retrieve Track and Trace Information. Springer Berlin Heidelberg, 2013.

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9

Quintarelli, Elisa. Model-Checking Based Data Retrieval. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b94902.

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10

Wu, Shengli. Data Fusion in Information Retrieval. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28866-1.

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11

1952-, Frakes William B., and Baeza-Yates R, eds. Information retrieval: Data structures & algorithms. Prentice Hall, 1992.

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12

Luisa, Sapino Maria, ed. Data management for multimedia retrieval. Cambridge University Press, 2010.

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13

Lee, Jae Y. Automatic retrieval of ATR data. Texas Transportation Institute, Texas A&M System, 1986.

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14

Canada, Statistics, and Statistics Canada. Small Area Data Program, eds. Showcase 1.1 data retrieval system. Statistics Canada, 1987.

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15

Candan, K. Selçuk. Data management for multimedia retrieval. Cambridge University Press, 2010.

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16

Wu, Shengli. Data Fusion in Information Retrieval. Springer Berlin Heidelberg, 2012.

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17

Candan, K. Selçuk. Data management for multimedia retrieval. Cambridge University Press, 2010.

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18

Spelter, Henry. Northeast economic data and retrieval system. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1993.

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19

McAneny, Danielle S. Coastal Engineering Data Retrieval System (CEDRS). U.S. Army Engineer Waterways Experiment Station, 1995.

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20

Lalmas, Mounia. XML retrieval. Morgan & Claypool Publishers, 2009.

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21

Rowe, Neil C. Exploiting captions in retrieval of multimedia data. Naval Postgraduate School, 1992.

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22

Wolfgang, Wagner. Soil moisture retrieval from ERS scatterometer data. Veröffentlichung des Instituts für Photogrammetrie und Fernerkundung, 1998.

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23

Masoud, Mohammadian, and International Conference on Computational Intelligence for Modelling, Control and Automation (1999 : Vienna, Austria), eds. Intelligent image processing, data analysis & information retrieval. IOS Press, 1999.

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24

David, Ellis. New horizons in information retrieval. Library Association, 1990.

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25

Teskey, F. N. Novel computer architectures for data storage and retrieval. British Library Board, 1985.

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26

Lee, William Hung Kan, 1940-, O'Neill M. E, and Geological Survey (U.S.), eds. Earthquake Data Archiving and Retrieval System: User's manual. U.S. Dept. of the Interior, Geological Survey, 1985.

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27

Teskey, F. N. Novel computer architectures for data storage and retrieval. (F.N. Teskey?), 1985.

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28

R, Nash Eric, Newman Paul A, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. df: A proposed data format standard. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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29

Sarnoff, Lolo. Dara: The autobiography of a Chesapeake Bay retriever. Posterity Press, 1999.

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30

Center, Langley Research, ed. HARV ANSER flight test data retrieval and processing procedures. National Aeronautics and Space Administration, Langley Research Center, 1997.

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31

Group, Yankee, ed. On-line data services. Yankee Group, 1985.

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32

United States. National Aeronautics and Space Administration., ed. Radio metric and orbit data: Recommendation for space data system standards. National Aeronautics and Space Administration, 1989.

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33

Vigil, Peter J. Online retrieval: Analysis and strategy. Wiley, 1988.

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34

Beaulieu, Alan. Learning SQL: Generate, Manipulate, and Retrieve Data. O'Reilly Media, Incorporated, 2020.

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35

Learning Snowflake SQL and Scripting: Generate, Retrieve, and Automate Snowflake Data. O'Reilly Media, Incorporated, 2023.

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36

Müller, Jürgen. A Real-Time In-Memory Discovery Service: Leveraging Hierarchical Packaging Information in a Unique Identifier Network to Retrieve Track and Trace Information. Springer, 2013.

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37

Müller, Jürgen. A Real-Time In-Memory Discovery Service: Leveraging Hierarchical Packaging Information in a Unique Identifier Network to Retrieve Track and Trace Information. Springer, 2015.

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38

Dev, Melvin. ASP. NET Core 5 and JQuery Ajax: Learn How to Add and Retrieve Data Using JQuery Ajax with View Components. Independently Published, 2021.

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39

Eriksson, Olle, Anders Bergman, Lars Bergqvist, and Johan Hellsvik. Ultrafast Switching Dynamics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198788669.003.0011.

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The time-integrated amount of data and stored information, is doubled roughly every eighteen months, and since the majority of the worlds information is stored in magnetic media, the possibility to write and retrieve information in a magnetic material at ever greater speed and with lower energy consumption, has obvious benefits for our society. Hence the seemingly simple switching of a magnetic unit, a bit, is a crucial process which defines how efficiently information can be stored and retrieved from a magnetic memory. Of particular interest here are the concepts of ultrafast magnetism and al

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40

Tzoukermann, Evelyne, Judith L. Klavans, and Tomek Strzalkowski. Information Retrieval. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0029.

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Information retrieval (IR) involves retrieving information from stored data, through user queries or pre-formulated user profiles. The information can be in any format. IR typically advances over four broad stages viz., identification of text types, document preprocessing, document indexing, and query processing and matching the same to documents. Although NLP has a role to play in IR, the procedural complexities of the latter impede determination of the stage of incorporation of the former into the latter. Earliest attempts at connecting NLP with IR, were extremely ambitious, proposing concep

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41

Anderson, James A. Brain Theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780199357789.003.0013.

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The elementary particles of cognition are concepts. Simple, accurate association alone can be misleading. Cognitive concepts work as valuable cognitive data compression, for example, giving a set of related items the same class name: tables, chairs, birds. Cognitive concepts also contain internal structure with good and bad examples and have fuzzy edges. Concepts can be associatively linked in semantic networks to store and retrieve information. Cognition using networks is an active search process and need not require further learning to be useful. Low-level concepts can lead to the formation

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42

Harry, Elizabeth, and John Sweller. Cognitive Load Theory and Patient Safety. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199366149.003.0002.

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Effective patient care depends on the ability to store and retrieve patient information and medical knowledge. All knowledge is either acquired from the environment or created de novo through trial and error. In either case, cues from the environment are filtered through working memory to attempt to guide action. Psychological principles such as resource theory and cognitive load theory suggest that humans have a limited amount of working memory that can be used to assimilate new information. When working memory is overloaded (i.e., cognitive overload), one’s attention is limited to fewer sali

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43

Data Fusion In Information Retrieval. Springer, 2012.

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44

Wu, Shengli. Data Fusion in Information Retrieval. Springer Berlin / Heidelberg, 2014.

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45

Candan, K. Selcuk, and Maria Luisa Sapino. Data Management for Multimedia Retrieval. Cambridge University Press, 2010.

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46

Candan, K. Selçuk, and Maria Luisa Sapino. Data Management for Multimedia Retrieval. Cambridge University Press, 2010.

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47

Candan, K. Selçuk, and Maria Luisa Sapino. Data Management for Multimedia Retrieval. Cambridge University Press, 2010.

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48

Candan, K. Selçuk, and Maria Luisa Sapino. Data Management for Multimedia Retrieval. Cambridge University Press, 2014.

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49

Mittendorf, Elke. Data corruption and information retrieval. 1998.

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50

Humphrey, Susanne H., and Biagio John Mellau. Data-bases. Reston Publishing, 1986.

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