Books on the topic 'Data models, storage and indexing'

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1

Institute, Environmental Systems Research, ed. ARC/INFO data management: Concepts, data models, database design, and storage. Redlands, Calif: ESRI, 1994.

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2

Manolopoulos, Yannis. Advanced database indexing. Boston: Kluwer Academic, 2000.

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3

Cisco, Susan Lynn. Indexing business records: The value proposition. Silver Spring, MD: Association for Information and Image Management International, 1998.

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4

Kataja, Kari J. Numerical modelling of near field optical data storage. [Espoo, Finland]: VTT Technical Research Centre of Finland, 2005.

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5

Bertino, Elisa. Indexing Techniques for Advanced Database Systems. Boston, MA: Springer US, 1997.

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6

Bearman, David. Archives & museum data models & dictionaries. Pittsburgh, Pa: Archives & Museum Informatics, 1990.

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7

Bearman, David. Archives & museum data models & dictionaries. Pittsburgh: Archives & Museum Informatics, 1990.

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8

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

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9

Ferrigno, Carmelo F. A data-management system for detailed areal interpretive data. Denver, Colo: U.S. Dept. of the Interior, Geological Survey, 1986.

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10

Ferrigno, Carmelo F. A data-management system for detailed areal interpretive data. Denver, Colo: U.S. Dept. of the Interior, Geological Survey, 1986.

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11

Ferrigno, Carmelo F. A data-management system for detailed areal interpretive data. Denver, Colo: U.S. Dept. of the Interior, Geological Survey, 1986.

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12

Ferrigno, Carmelo F. A data-management system for detailed areal interpretive data. Denver, Colo: U.S. Dept. of the Interior, Geological Survey, 1986.

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13

Ferrigno, Carmelo F. A data-management system for detailed areal interpretive data. Denver, Colo: U.S. Dept. of the Interior, Geological Survey, 1986.

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14

Ferrigno, Carmelo F. A data-management system for detailed areal interpretive data. Denver, Colo: U.S. Dept. of the Interior, Geological Survey, 1986.

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15

CENDI Indexing Workshop (1994 NASA Headquarters). CENDI Indexing Workshop, NASA Headquarters, September 21-22, 1994. Washington, DC: National Aeronautics and Space Administration, Scientific and Technical Information Program, 1994.

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16

CENDI Indexing Workshop (1994 NASA Headquarters). CENDI Indexing Workshop, NASA Headquarters, September 21-22, 1994. Washington, DC: National Aeronautics and Space Administration, Scientific and Technical Information Program, 1994.

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17

CENDI Indexing Workshop (1994 NASA Headquarters). CENDI Indexing Workshop, NASA Headquarters, September 21-22, 1994. Washington, DC: National Aeronautics and Space Administration, Scientific and Technical Information Program, 1994.

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18

Rambaud, Salvador Cruz. Algebraic models for accounting systems. Singapore: World Scientific, 2010.

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19

Aggarwal, Charu C. Privacy-Preserving Data Mining: Models and Algorithms. Boston, MA: Springer Science+Business Media, LLC, 2008.

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20

Li, Ying. Video Content Analysis Using Multimodal Information: For Movie Content Extraction, Indexing and Representation. Boston, MA: Springer US, 2003.

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21

Gaussier, Eric. Textual information access: Statistical models. London: ISTE, 2011.

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22

A, Stein, and Penning de Vries, F. W. T., eds. Data and models in action: Methodological issues in production ecology. Dordrecht: Kluwer Academic Publishers, 1999.

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23

Bonville, Jean de. La production d'une base de données bibliographiques: Manuel de gestion. 2nd ed. Québec: Réseau québécois d'information sur la communication, 1992.

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24

Stein, A. Data and Models in Action: Methodological Issues in Production Ecology. Dordrecht: Springer Netherlands, 1999.

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25

Kralingen, Robert W. van. Frame-based conceptual models of statute law. The Hague: Kluwer Law International, 1995.

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26

Ibekwe-SanJuan, Fidelia. Fouille de textes: Méthodes, outils et applications. Paris: Hermès science publications, 2007.

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27

Queensland. Dept. of Geographic Information., ed. Low cost LIS state of the art and future implications. [Queensland]: The Department, 1988.

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28

E, Ash Janet, ed. Communication, storage, and retrieval of chemical information. Chichester, West Sussex, England: E. Horwood, 1985.

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29

Christine, Schneider. Automatische Indexierung und Syntaxanalyse: Zur Entwicklung sprachanalytischer Komponenten von Informationssystemen auf empirischer Grundlage. Hamburg: H. Buske, 1985.

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30

United States. National Technical Information Service. U.S. government environmental datafiles & software: Microcomputers & mainframes : air models, water quality, hazardous substances, health effects. Springfield, Va: U.S. Department of Commerce, Technology Administration, National Technical Information Service, 1993.

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31

Crestani, Fabio. Information Retrieval: Uncertainty and Logics: Advanced Models for the Representation and Retrieval of Information. Boston, MA: Springer US, 1998.

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32

Computer Music Modeling and Retrieval Symposium (2nd 2004 Ebjerg, Denmark). Computer music modeling and retrieval: Second International Symposium, CMMR 2004, Esbjerg, Denmark, May 26-29, 2004 : revised papers. Berlin: Springer, 2005.

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33

Heusinger, Lutz. Marburger Informations-, Dokumentations- und Administrations-System (MIDAS): Handbuch. München: K.G. Saur, 1989.

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34

Jahrestagung, Gesellschaft für Klassifikation. Classification, data analysis, and knowledge organization models and methods with applications: Proceedings of the 14th Annual Conference of the Gesellschaft fhur Klassification [sic] e.V., University of Marburg, March 12-14, 1990. Berlin: Springer-Verlag, 1991.

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35

Jouis, Christophe. Next generation search engines: Advanced models for information retrieval. Hershey PA: Information Science Reference, 2012.

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36

1963-, Yi In-jae, ed. Koyong yŏnghyang punsŏk, pyŏngka pangbopnon yŏnʼgu. Sŏul Tʻŭkpyŏlsi: Hanʼguk Nodong Yŏnʼguwŏn, 2008.

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37

K, Brail Richard, and Klosterman Richard E, eds. Planning support systems: Integrating geographic information systems, models, and visualization tools. Redlands, Calif: ESRI Press, 2001.

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38

Sloan, Peggy. Improved land use decision-making in rural communities: GIS in the 1990s. Amherst, MA: Massachusetts Agricultural Experiment Station, College of Food and Natural Resources, 1992.

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39

Laws, David. Information resources and landscape planning: An integrated approach to development and application. Amherst, MA: Massachusetts Agricultural Experiment Station, College of Food and Natural Resources, 1991.

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40

Laws, David. Information resources and landscape planning: An integrated approach to development and application. Amherst, MA: Massachusetts Agricultural Experiment Station, College of Food and Natural Resources, 1991.

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41

Sloan, Peggy. Improved land use decision-making in rural communities: GIS in the 1990s. Amherst, MA: Massachusetts Agricultural Experiment Station, College of Food and Natural Resources, 1992.

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42

Ireland) International Congress on Terminology and Knowledge Engineering (9th 2010 Dublin. Presenting terminology and knowledge engineering resources online: Models and challenges. Dublin: Fiontar, Dublin City University, 2010.

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43

Torra, Vicenç. Modeling Decisions for Artificial Intelligence: 9th International Conference, MDAI 2012, Girona, Catalonia, Spain, November 21-23, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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44

Sartor, Giovanni. Legislative XML for the Semantic Web: Principles, Models, Standards for Document Management. Dordrecht: Springer Science+Business Media B.V., 2011.

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45

Torra, Vicenç. Modeling Decisions for Artificial Intelligence: 7th International Conference, MDAI 2010, Perpignan, France, October 27-29, 2010. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010.

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46

Frieze, Alan. Algorithms and Models for the Web Graph: 8th International Workshop, WAW 2011, Atlanta, GA, USA, May 27-29, 2011. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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47

Dowd, Cate. Digital Journalism, Drones, and Automation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190655860.001.0001.

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Advances in online technology and news systems, such as automated reasoning across digital resources and connectivity to cloud servers for storage and software, have changed digital journalism production and publishing methods. Integrated media systems used by editors are also conduits to search systems and social media, but the lure of big data and rise in fake news have fragmented some layers of journalism, alongside investments in analytics and a shift in the loci for verification. Data has generated new roles to exploit data insights and machine learning methods, but access to big data and data lakes is so significant it has spawned newsworthy partnerships between media moguls and social media entrepreneurs. However, digital journalism does not even have its own semantic systems that could protect the values of journalism, but relies on the affordances of other systems. Amidst indexing and classification systems for well-defined vocabulary and concepts in news, data leaks and metadata present challenges for journalism. By contrast data visualisations and real-time field reporting with short-form mobile media and civilian drones set new standards during the European asylum seeker crisis. Aerial filming with drones also adds to the ontological base of journalism. An ontology for journalism and intersecting ontologies can inform the design of new semantic learning systems. The Semantic CAT Method, which draws on participatory design and game design, also assists the conceptual design of synthetic players with emotion attributes, towards a meta-model for learning. The design of context-aware sensor systems to protect journalists in conflict zones is also discussed.
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48

Theodoridis, Yannis, Vassilis J. Tsotras, and Yannis Manolopoulos. Advanced Database Indexing. Springer, 2012.

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49

Aggarwal, Charu C. Data Streams: Models and Algorithms. Springer, 2014.

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50

Aggarwal, Charu C. Data Streams: Models and Algorithms. Springer, 2007.

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