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Books on the topic 'Data Classification'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 September 2023

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1

Balderjahn, Ingo, Rudolf Mathar, and Martin Schader, eds. Classification, Data Analysis, and Data Highways. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72087-1.

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2

Data analysis, data modeling, and classification. New York: McGraw-Hill, 1992.

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3

Jajuga, Krzysztof, Krzysztof Najman, and Marek Walesiak, eds. Data Analysis and Classification. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75190-6.

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4

Batagelj, Vladimir, Hans-Hermann Bock, Anuška Ferligoj, and Aleš Žiberna, eds. Data Science and Classification. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-34416-0.

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5

Jajuga, Krzysztof, Jacek Batóg, and Marek Walesiak, eds. Classification and Data Analysis. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52348-0.

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6

Palumbo, Francesco, Carlo Natale Lauro, and Michael J. Greenacre, eds. Data Analysis and Classification. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-03739-9.

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7

Vichi, Maurizio, and Otto Opitz, eds. Classification and Data Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60126-2.

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8

Giusti, Antonio, Gunter Ritter, and Maurizio Vichi, eds. Classification and Data Mining. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28894-4.

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9

Giusti, Antonio. Classification and Data Mining. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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10

Jajuga, Krzysztof, Grażyna Dehnel, and Marek Walesiak, eds. Modern Classification and Data Analysis. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10190-8.

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11

Jajuga, Krzysztof, Andrzej Sokołowski, and Hans-Hermann Bock, eds. Classification, Clustering, and Data Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56181-8.

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12

Data classification: Algorithms and applications. Boca Raton: CRC Press, Taylor & Francis Group, 2014.

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13

Hayashi, Chikio, Keiji Yajima, Hans-Hermann Bock, Noboru Ohsumi, Yutaka Tanaka, and Yasumasa Baba, eds. Data Science, Classification, and Related Methods. Tokyo: Springer Japan, 1998. http://dx.doi.org/10.1007/978-4-431-65950-1.

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14

Gaul, Wolfgang, Hans-Hermann Bock, Tadashi Imaizumi, and Akinori Okada, eds. Cooperation in Classification and Data Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00668-5.

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15

Borra, Simone, Roberto Rocci, Maurizio Vichi, and Martin Schader, eds. Advances in Classification and Data Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-59471-7.

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16

Banks, David, Frederick R. McMorris, Phipps Arabie, and Wolfgang Gaul, eds. Classification, Clustering, and Data Mining Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-17103-1.

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17

Kiers, Henk A. L., Jean-Paul Rasson, Patrick J. F. Groenen, and Martin Schader, eds. Data Analysis, Classification, and Related Methods. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59789-3.

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18

Rizzi, Alfredo, Maurizio Vichi, and Hans-Hermann Bock, eds. Advances in Data Science and Classification. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72253-0.

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19

Bock, Hans-Hermann, and Peter Ihm, eds. Classification, Data Analysis, and Knowledge Organization. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76307-6.

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20

L, Kiers Henk A., and International Federation of Classification Societies. Conference, eds. Data analysis, classification, and related methods. Berlin: Springer, 2000.

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21

M, Mather Paul, ed. Classification methods for remotely sensed data. 2nd ed. Boca Raton, FL: CRC Press, 2009.

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22

Zani, Sergio, Andrea Cerioli, Marco Riani, and Maurizio Vichi, eds. Data Analysis, Classification and the Forward Search. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-35978-8.

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23

Brito, Paula, Guy Cucumel, Patrice Bertrand, and Francisco de Carvalho, eds. Selected Contributions in Data Analysis and Classification. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73560-1.

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24

Mola, Francesco, Claudio Conversano, and Maurizio Vichi, eds. Classification, (Big) Data Analysis and Statistical Learning. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-55708-3.

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25

Diday, Edwin, Yves Lechevallier, Martin Schader, Patrice Bertrand, and Bernard Burtschy, eds. New Approaches in Classification and Data Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-51175-2.

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26

Imaizumi, Tadashi, Akinori Okada, Sadaaki Miyamoto, Fumitake Sakaori, Yoshiro Yamamoto, and Maurizio Vichi, eds. Advanced Studies in Classification and Data Science. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3311-2.

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27

Bock, H. H., W. Gaul, M. Vichi, Ph Arabie, D. Baier, F. Critchley, R. Decker, et al., eds. New Developments in Classification and Data Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b138989.

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28

E, Diday, ed. New approaches in classification and data analysis. Berlin: Springer-Verlag, 1994.

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29

E, Diday, and Brito Paula, eds. Selected contributions in data analysis and classification. Berlin: Springer, 2007.

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30

Chakraborty, Sanjay, Sk Hafizul Islam, and Debabrata Samanta. Data Classification and Incremental Clustering in Data Mining and Machine Learning. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93088-2.

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31

Yang, Xiang, and SpringerLink (Online service), eds. Software Similarity and Classification. London: Springer London, 2012.

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32

1969-, Srivastava Ashok, and Sahami Mehran, eds. Text mining: Classification, clustering, and applications. Boca Raton, FL: CRC Press, 2009.

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33

Fox, R. P. The classification and coding of accounting information. London: Chartered Institute of Management Accountants, 1992.

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34

Fox, R. P. The classification and coding of accounting information. London: Institute of Cost and Management Accountants, 1986.

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35

Denith, M. Texture-based enhancement and classification of aeromagnetic data. East Perth, WA: Minerals and Energy Research Institute of Western Australia, 2002.

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36

Fichet, Bernard, Domenico Piccolo, Rosanna Verde, and Maurizio Vichi, eds. Classification and Multivariate Analysis for Complex Data Structures. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-13312-1.

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37

Baier, Daniel, and Klaus-Dieter Wernecke, eds. Innovations in Classification, Data Science, and Information Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b138406.

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38

Sithole, George. Segmentation and classification of airborne laser scanner data. Delft: Nederlandse Commissie voor Geodesie, 2005.

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39

Aggarwal, Charu C., ed. Data Classification. Chapman and Hall/CRC, 2014. http://dx.doi.org/10.1201/b17320.

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40

Aggarwal, Charu C. Data Classification. Taylor & Francis Group, 2014.

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41

Aggarwal, Charu C. Data Classification. Taylor & Francis Group, 2020.

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42

Francesco, Palumbo Carlo Natale Lauro Michael J. Greenacre. Data Analysis and Classification. Springer, 2010.

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43

Data Science and Classification. Springer London, Limited, 2006.

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44

Classification and Data Mining Studies in Classification Data Analysis and Knowledge Orga. Springer, 2012.

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45

(Editor), Vladimir Batagelj, Hans-Hermann Bock (Editor), Anuska Ferligoj (Editor), and Ales Ziberna (Editor), eds. Data Science and Classification (Studies in Classification, Data Analysis, and Knowledge Organization). Springer, 2006.

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46

Baillo, Amparo, Antonio Cuevas, and Ricardo Fraiman. Classification methods for functional data. Edited by Frédéric Ferraty and Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.10.

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Abstract:
This article reviews the literature concerning supervised and unsupervised classification of functional data. It first explains the meaning of unsupervised classification vs. supervised classification before discussing the supervised classification problem in the infinite-dimensional case, showing that its formal statement generally coincides with that of discriminant analysis in the classical multivariate case. It then considers the optimal classifier and plug-in rules, empirical risk and empirical minimization rules, linear discrimination rules, the k nearest neighbor (k-NN) method, and kernel rules. It also describes classification based on partial least squares, classification based on reproducing kernels, and depth-based classification. Finally, it examines unsupervised classification methods, focusing on K-means for functional data, K-means for data in a Hilbert space, and impartial trimmed K-means for functional data. Some practical issues, in particular real-data examples and simulations, are reviewed and some selected proofs are given.
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47

(Editor), Krzystof Jajuga, Andrzej Sokolowski (Editor), and Hans-Hermann Bock (Editor), eds. Classification, Clustering and Data Analysis. Springer, 2002.

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48

Aggarwal, Charu C. Data Classification: Algorithms and Applications. Taylor & Francis Group, 2014.

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49

Biem, Alan. Data Classification Using Neural Analytics. Taylor & Francis Group, 2016.

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50

Aggarwal, Charu C. Data Classification: Algorithms and Applications. Taylor & Francis Group, 2014.

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