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Books on the topic 'Intelligent data analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 May 2022

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1

Berthold, Michael, and David J. Hand, eds. Intelligent Data Analysis. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03969-4.

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2

Berthold, Michael, and David J. Hand, eds. Intelligent Data Analysis. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-48625-1.

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3

Moewes, Christian, and Andreas Nürnberger, eds. Computational Intelligence in Intelligent Data Analysis. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32378-2.

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4

Pan, Jeng-Shyang, Václav Snášel, Tien-Wen Sung, and Xiao Dong Wang, eds. Intelligent Data Analysis and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48499-0.

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5

Berthold, Michael R., Christian Borgelt, Frank Höppner, and Frank Klawonn. Guide to Intelligent Data Analysis. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-260-3.

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6

Berthold, M. Intelligent data analysis: An introduction. Springer, 1999.

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7

Hand, David J., Joost N. Kok, and Michael R. Berthold, eds. Advances in Intelligent Data Analysis. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48412-4.

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8

Hoffmann, Frank, David J. Hand, Niall Adams, Douglas Fisher, and Gabriela Guimaraes, eds. Advances in Intelligent Data Analysis. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44816-0.

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9

Abraham, Ajith, Xin Hua Jiang, Václav Snášel, and Jeng-Shyang Pan, eds. Intelligent Data Analysis and Applications. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21206-7.

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10

name, No. Intelligent data analysis: An introduction. 2nd ed. Springer Verlag, 2003.

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11

Liu, Xiaohui, Paul Cohen, and Michael Berthold, eds. Advances in Intelligent Data Analysis Reasoning about Data. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0052824.

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12

Duivesteijn, Wouter, Arno Siebes, and Antti Ukkonen, eds. Advances in Intelligent Data Analysis XVII. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01768-2.

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13

R. Berthold, Michael, Hans-Joachim Lenz, Elizabeth Bradley, Rudolf Kruse, and Christian Borgelt, eds. Advances in Intelligent Data Analysis V. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45231-7.

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14

Famili, A. Fazel, Joost N. Kok, José M. Peña, Arno Siebes, and Ad Feelders, eds. Advances in Intelligent Data Analysis VI. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552253.

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15

Boström, Henrik, Arno Knobbe, Carlos Soares, and Panagiotis Papapetrou, eds. Advances in Intelligent Data Analysis XV. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46349-0.

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16

Tucker, Allan, Frank Höppner, Arno Siebes, and Stephen Swift, eds. Advances in Intelligent Data Analysis XII. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41398-8.

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17

Adams, Niall M., Céline Robardet, Arno Siebes, and Jean-François Boulicaut, eds. Advances in Intelligent Data Analysis VIII. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03915-7.

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18

Cohen, Paul R., Niall M. Adams, and Michael R. Berthold, eds. Advances in Intelligent Data Analysis IX. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13062-5.

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19

Gama, João, Elizabeth Bradley, and Jaakko Hollmén, eds. Advances in Intelligent Data Analysis X. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24800-9.

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20

Fromont, Elisa, Tijl De Bie, and Matthijs van Leeuwen, eds. Advances in Intelligent Data Analysis XIV. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24465-5.

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21

R. Berthold, Michael, Hans-Joachim Lenz, Elizabeth Bradley, Rudolf Kruse, and Christian Borgelt, eds. Advances in Intelligent Data Analysis V. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/b13240.

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22

Blockeel, Hendrik, Matthijs van Leeuwen, and Veronica Vinciotti, eds. Advances in Intelligent Data Analysis XIII. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12571-8.

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23

R. Berthold, Michael, John Shawe-Taylor, and Nada Lavrač, eds. Advances in Intelligent Data Analysis VII. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74825-0.

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24

Hollmén, Jaakko, Frank Klawonn, and Allan Tucker, eds. Advances in Intelligent Data Analysis XI. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34156-4.

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25

Adams, Niall, Allan Tucker, and David Weston, eds. Advances in Intelligent Data Analysis XVI. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68765-0.

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26

Berthold, Michael R., Ad Feelders, and Georg Krempl, eds. Advances in Intelligent Data Analysis XVIII. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44584-3.

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27

Abreu, Pedro Henriques, Pedro Pereira Rodrigues, Alberto Fernández, and João Gama, eds. Advances in Intelligent Data Analysis XIX. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74251-5.

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28

Bouadi, Tassadit, Elisa Fromont, and Eyke Hüllermeier, eds. Advances in Intelligent Data Analysis XX. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-01333-1.

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29

Runkler, Thomas A. Data analytics: Models and algorithms for intelligent data analysis. Springer Vieweg, 2012.

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30

service), SpringerLink (Online, ed. Data Analytics: Models and Algorithms for Intelligent Data Analysis. Vieweg+Teubner Verlag, 2012.

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31

Lavrač, Nada. Intelligent Data Analysis in Medicine and Pharmacology. Springer US, 1997.

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32

Lavrač, Nada, Elpida T. Keravnou, and Blaž Zupan, eds. Intelligent Data Analysis in Medicine and Pharmacology. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6059-3.

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33

Niranjanamurthy, M., Siddhartha Bhattacharyya, and Neeraj Kumar, eds. Intelligent Data Analysis for COVID-19 Pandemic. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1574-0.

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34

Pan, Jeng-Shyang, Valentina Emilia Balas, and Chien-Ming Chen, eds. Advances in Intelligent Data Analysis and Applications. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5036-9.

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35

Berthold, M. Guide to intelligent data analysis: How to intelligently make sense of real data. Springer, 2010.

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36

Openshaw, Stan. User-centred intelligent spatial analysis of point data. University of Leeds, School of Geography, 1995.

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37

Pan, Jeng-Shyang, Vaclav Snasel, Emilio S. Corchado, Ajith Abraham, and Shyue-Liang Wang, eds. Intelligent Data analysis and its Applications, Volume II. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07773-4.

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38

Pan, Jeng-Shyang, Vaclav Snasel, Emilio S. Corchado, Ajith Abraham, and Shyue-Liang Wang, eds. Intelligent Data analysis and its Applications, Volume I. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07776-5.

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39

Medical applications of intelligent data analysis: Research advancements. Information Science Reference, 2012.

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40

Martin, Peter T. Automated data collection, analysis, and archival. Mountain-Plains Consortium, 2003.

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41

Berthold, Michael. Advances in Intelligent Data Analysis XVIII: 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings. Springer Nature, 2020.

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42

International Conference on Intelligent Data Analysis (5th 2003 Berlin, Germany). Advances in intelligent data analysis V: 5th International Conference on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003 : proceedings. Springer, 2003.

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43

M, Berthold, Shawe-Taylor John, and Lavrač Nada, eds. Advances in intelligent data analysis VII: 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007 : proceedings. Springer, 2007.

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44

Narasimhan, Shankar. Data reconciliation & gross error detection: An intelligent use of process data. Gulf Publishing Co., 2000.

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45

Operational risk management: A practical approach to intelligent data analysis. John Wiley & Sons, 2010.

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46

Kruse, Rudolf. Synergies of Soft Computing and Statistics for Intelligent Data Analysis. Springer Berlin Heidelberg, 2013.

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47

Benedito, Rafael Magdalena. Intelligent data analysis for real-life applications: Theory and practice. Information Science Reference, 2012.

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48

Chertov, Oleg, Tymofiy Mylovanov, Yuriy Kondratenko, Janusz Kacprzyk, Vladik Kreinovich, and Vadim Stefanuk, eds. Recent Developments in Data Science and Intelligent Analysis of Information. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-97885-7.

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49

Uden, Lorna, Leon S. L. Wang, Tzung-Pei Hong, Hsin-Chang Yang, and I.-Hsien Ting, eds. The 3rd International Workshop on Intelligent Data Analysis and Management. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7293-9.

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50

Kruse, Rudolf, Michael R. Berthold, Christian Moewes, María Ángeles Gil, Przemysław Grzegorzewski, and Olgierd Hryniewicz, eds. Synergies of Soft Computing and Statistics for Intelligent Data Analysis. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33042-1.

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