Books on the topic 'Data Domains'

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1

Sychev, Alexander, Sergey Makhortov, and Bernhard Thalheim, eds. Data Analytics and Management in Data Intensive Domains. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81200-3.

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2

Pozanenko, Alexei, Sergey Stupnikov, Bernhard Thalheim, Eva Mendez, and Nadezhda Kiselyova, eds. Data Analytics and Management in Data Intensive Domains. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12285-9.

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3

Kalinichenko, Leonid, Yannis Manolopoulos, Oleg Malkov, Nikolay Skvortsov, Sergey Stupnikov, and Vladimir Sukhomlin, eds. Data Analytics and Management in Data Intensive Domains. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96553-6.

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4

Elizarov, Alexander, Boris Novikov, and Sergey Stupnikov, eds. Data Analytics and Management in Data Intensive Domains. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51913-1.

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5

Kalinichenko, Leonid, Sergei O. Kuznetsov, and Yannis Manolopoulos, eds. Data Analytics and Management in Data Intensive Domains. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57135-5.

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6

Manolopoulos, Yannis, and Sergey Stupnikov, eds. Data Analytics and Management in Data Intensive Domains. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23584-0.

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7

Palmer, Martha Stone. Semantic processing for finite domains. Cambridge [England]: Cambridge University Press, 1990.

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8

Kathleen, Hornsby, Yuan May, and University Consortium for Geographic Information Science., eds. Understanding dynamics of geographic domains. Boca Raton: Taylor & Francis, 2008.

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9

Furtado, Pedro Nuno San-Banto, 1968-, ed. Evolving application domains of data warehousing and mining: Trends and solutions. Hershey, PA: Information Science Reference, 2010.

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10

Furtado, Pedro Nuno San-Banto, 1968-, ed. Evolving application domains of data warehousing and mining: Trends and solutions. Hershey, PA: Information Science Reference, 2010.

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11

Pompeu, Casanovas, Biasiotti Maria Angela, Fernández-Barrera Meritxell, and SpringerLink (Online service), eds. Approaches to Legal Ontologies: Theories, Domains, Methodologies. Dordrecht: Springer Science+Business Media B.V., 2011.

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12

Ying, Jin, Smith P. L, and United States. National Aeronautics and Space Administration., eds. An area-time integral analysis of NEXRAD data. [Washington, DC: National Aeronautics and Space Administration, 1997.

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13

Ying, Jin, Smith P. L, and United States. National Aeronautics and Space Administration., eds. An area-time integral analysis of NEXRAD data. [Washington, DC: National Aeronautics and Space Administration, 1997.

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14

Dobkin, David P. Searching for empty convex polygons. Urbana, IL (1304 W. Springfield Ave., Urbana 61801): Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1988.

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15

Ralph, Grishman, Kittredge Richard 1941-, and Workshop on Sublanguage Description and Processing (1984 : New York University), eds. Analyzing language in restricted domains: Sublanguage description and processing. Hillsdale, N.J: L. Erlbaum Associates, 1986.

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16

1944-, Toussaint Godfried T., ed. Computational morphology: A computational geometric approach to the analysis of form. Amsterdam: North-Holland, 1988.

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17

Skiena, Steven S. Geometric probing. Urbana (1304 W. Springfield Ave., Urbana 61801): Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1988.

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18

1952-, Vines Russell Dean, ed. The CISSP prep guide: Mastering the ten domains of computer security. New York: Wiley, 2001.

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19

Privalʹskiĭ, V. E. Time series analysis package: Autoregressive time and frequency domains analysis of scalar and multi-variate time series. Logan, UT: Utah Climate Center, Utah State University, 1993.

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20

Petrucci, Alessandra, and Rosanna Verde, eds. SIS 2017. Statistics and Data Science: new challenges, new generations. Florence: Firenze University Press, 2017. http://dx.doi.org/10.36253/978-88-6453-521-0.

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The 2017 SIS Conference aims to highlight the crucial role of the Statistics in Data Science. In this new domain of ‘meaning’ extracted from the data, the increasing amount of produced and available data in databases, nowadays, has brought new challenges. That involves different fields of statistics, machine learning, information and computer science, optimization, pattern recognition. These afford together a considerable contribute in the analysis of ‘Big data’, open data, relational and complex data, structured and no-structured. The interest is to collect the contributes which provide from the different domains of Statistics, in the high dimensional data quality validation, sampling extraction, dimensional reduction, pattern selection, data modelling, testing hypotheses and confirming conclusions drawn from the data.
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21

Edelsbrunner, Herbert. Probing convex polygons with x-rays. Urbana, IL: Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1986.

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22

S, Tang S., and United States. National Aeronautics and Space Administration., eds. Health monitoring system for composite structures. [Washington, DC: National Aeronautics and Space Administration, 1996.

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23

Tapan, Sarkar, ed. Parallel solution of integral equation based EM problems in the frequency domain. Hoboken, N.J: Wiley, 2009.

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24

Andersson, Claes. On the use of two-phase sampling in estimation of parameters in domains where data contain misclassification and measurement errors. Uppsala: Uppsala University, 1994.

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25

King, Brayton Robert, ed. Integrating functional and temporal domains in logic design: The false path problem and its implications. Boston: Kluwer Academic, 1991.

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26

Geers, Thomas L. IUTAM Symposium on Computational Methods for Unbounded Domains: Proceedings of the IUTAM Symposium held in Boulder, Colorada, U.S.A., 27-31 July 1997. Dordrecht: Springer Netherlands, 1998.

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27

W, Crockett Thomas, Nicol David, and Institute for Computer Applications in Science and Engineering., eds. Binary dissection: Variants & applications. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1997.

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28

Cao, Longbing, Philip S. Yu, Chengqi Zhang, and Yanchang Zhao. Domain Driven Data Mining. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-5737-5.

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29

Domain driven data mining. New York: Springer, 2010.

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30

Carlson, Björn. Compiling and executing finite domain constraints. Uppsala, Sweden: Computing Science Dept., Uppsala University, 1995.

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31

1962-, Clark Jill, ed. The GIS guide to public domain data. Redlands, Calif: Esri Press, 2012.

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32

Duffy, Daniel J. Domain Architectures. New York: John Wiley & Sons, Ltd., 2004.

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33

Oceans, Canada Dept of Fisheries and. Efficient Frequency Domain Filtering Algorithm For Small Data Sets. S.l: s.n, 1987.

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34

Francis, Jouannet, and Bonetto Ch, eds. Modèle informatisé du traitement des tons: Domaine bantou. Paris: SELAF, 1987.

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35

Palmer, Martha Stone. Semantic Processing for Finite Domains. Cambridge University Press, 2011.

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36

Palmer, Martha Stone. Semantic Processing for Finite Domains. Cambridge University Press, 2009.

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37

Understanding dynamics of geographic domains. Boca Raton: Taylor & Francis, 2008.

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38

(Editor), Kathleen S. Hornsby, and May Yuan (Editor), eds. Understanding Dynamics of Geographic Domains. CRC, 2008.

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39

Palmer, Martha Stone. Semantic Processing for Finite Domains (Studies in Natural Language Processing). Cambridge University Press, 2006.

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40

Analyzing Language in Restricted Domains: Sublanguage Description and Processing. Lawrence Erlbaum, 1986.

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41

Casanovas, Pompeu, Giovanni Sartor, Mariangela Biasiotti, and Meritxell Fernández-Barrera. Approaches to Legal Ontologies: Theories, Domains, Methodologies. Springer, 2013.

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42

Grishman, Ralph, and Richard Kittredge. Analyzing Language in Restricted Domains: Sublanguage Description and Processing. Taylor & Francis Group, 2014.

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43

Reinartz, Thomas. Focusing Solutions for Data Mining: Analytical Studies and Experimental Results in Real-World Domains. Springer, 2003.

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44

An area-time integral analysis of NEXRAD data. [Washington, DC: National Aeronautics and Space Administration, 1997.

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45

An area-time integral analysis of NEXRAD data. [Washington, DC: National Aeronautics and Space Administration, 1997.

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46

Capturing Social and Behavioral Domains and Measures in Electronic Health Records. National Academies Press, 2015.

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47

Knowledge Discovery Practices And Emerging Applications Of Data Mining Trends And New Domains. Information Science Publishing, 2010.

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48

Focusing Solutions for Data Mining: Analytical Studies and Experimental Results in Real-World Domains (Lecture Notes in Computer Science). Springer, 1999.

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49

Grishman, Ralph, and Richard Kittredge. Analyzing Language in Restricted Domains: Sublanguage Description and Processing. Taylor & Francis Group, 2014.

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50

Grishman, Ralph, and Richard Kittredge. Analyzing Language in Restricted Domains: Sublanguage Description and Processing. Taylor & Francis Group, 2014.

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