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1

Holzinger, Andreas, Peter Kieseberg, A. Min Tjoa, and Edgar Weippl, eds. Machine Learning and Knowledge Extraction. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66808-6.

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2

Holzinger, Andreas, Peter Kieseberg, A. Min Tjoa, and Edgar Weippl, eds. Machine Learning and Knowledge Extraction. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57321-8.

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3

Holzinger, Andreas, Peter Kieseberg, A. Min Tjoa, and Edgar Weippl, eds. Machine Learning and Knowledge Extraction. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29726-8.

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4

Holzinger, Andreas, Peter Kieseberg, A. Min Tjoa, and Edgar Weippl, eds. Machine Learning and Knowledge Extraction. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99740-7.

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5

Holzinger, Andreas, Peter Kieseberg, A. Min Tjoa, and Edgar Weippl, eds. Machine Learning and Knowledge Extraction. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-84060-0.

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6

Kovalerchuk, Boris. Visual Knowledge Discovery and Machine Learning. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73040-0.

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7

Balcázar, José Luis, Francesco Bonchi, Aristides Gionis, and Michèle Sebag, eds. Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15880-3.

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8

Balcázar, José Luis, Francesco Bonchi, Aristides Gionis, and Michèle Sebag, eds. Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15883-4.

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9

Balcázar, José Luis, Francesco Bonchi, Aristides Gionis, and Michèle Sebag, eds. Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15939-8.

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10

Holzinger, Andreas, Randy Goebel, Massimo Ferri, and Vasile Palade, eds. Towards Integrative Machine Learning and Knowledge Extraction. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69775-8.

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11

Frasconi, Paolo, Niels Landwehr, Giuseppe Manco, and Jilles Vreeken, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46128-1.

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12

Berendt, Bettina, Björn Bringmann, Élisa Fromont, Gemma Garriga, Pauli Miettinen, Nikolaj Tatti, and Volker Tresp, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46131-1.

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13

Frasconi, Paolo, Niels Landwehr, Giuseppe Manco, and Jilles Vreeken, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46227-1.

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14

Bifet, Albert, Michael May, Bianca Zadrozny, Ricard Gavalda, Dino Pedreschi, Francesco Bonchi, Jaime Cardoso, and Myra Spiliopoulou, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23461-8.

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15

Appice, Annalisa, Pedro Pereira Rodrigues, Vítor Santos Costa, João Gama, Alípio Jorge, and Carlos Soares, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23525-7.

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16

Appice, Annalisa, Pedro Pereira Rodrigues, Vítor Santos Costa, Carlos Soares, João Gama, and Alípio Jorge, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23528-8.

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17

Ceci, Michelangelo, Jaakko Hollmén, Ljupčo Todorovski, Celine Vens, and Sašo Džeroski, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71246-8.

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18

Ceci, Michelangelo, Jaakko Hollmén, Ljupčo Todorovski, Celine Vens, and Sašo Džeroski, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71249-9.

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19

Altun, Yasemin, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Žitnik, Michelangelo Ceci, and Sašo Džeroski, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71273-4.

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20

Daelemans, Walter, Bart Goethals, and Katharina Morik, eds. Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-87479-9.

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21

Daelemans, Walter, Bart Goethals, and Katharina Morik, eds. Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-87481-2.

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22

Brefeld, Ulf, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, and Céline Robardet, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46133-1.

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23

Brefeld, Ulf, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, and Céline Robardet, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46147-8.

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24

Brefeld, Ulf, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, and Céline Robardet, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46150-8.

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25

Buntine, Wray, Marko Grobelnik, Dunja Mladenić, and John Shawe-Taylor, eds. Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04174-7.

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26

Buntine, Wray, Marko Grobelnik, Dunja Mladenić, and John Shawe-Taylor, eds. Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04180-8.

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27

Calders, Toon, Floriana Esposito, Eyke Hüllermeier, and Rosa Meo, eds. Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44845-8.

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28

Calders, Toon, Floriana Esposito, Eyke Hüllermeier, and Rosa Meo, eds. Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44848-9.

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29

Calders, Toon, Floriana Esposito, Eyke Hüllermeier, and Rosa Meo, eds. Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44851-9.

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30

Cellier, Peggy, and Kurt Driessens, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43823-4.

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31

Cellier, Peggy, and Kurt Driessens, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43887-6.

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32

Berlingerio, Michele, Francesco Bonchi, Thomas Gärtner, Neil Hurley, and Georgiana Ifrim, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10925-7.

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33

Berlingerio, Michele, Francesco Bonchi, Thomas Gärtner, Neil Hurley, and Georgiana Ifrim, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10928-8.

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34

Brefeld, Ulf, Edward Curry, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, and Neil Hurley, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10997-4.

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35

Spiliopoulou, Myra, Lars Schmidt-Thieme, and Ruth Janning, eds. Data Analysis, Machine Learning and Knowledge Discovery. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01595-8.

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36

Morik, Katharina, ed. Knowledge Representation and Organization in Machine Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/bfb0017213.

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37

Blockeel, Hendrik, Kristian Kersting, Siegfried Nijssen, and Filip Železný, eds. Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40988-2.

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38

Blockeel, Hendrik, Kristian Kersting, Siegfried Nijssen, and Filip Železný, eds. Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40991-2.

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39

Blockeel, Hendrik, Kristian Kersting, Siegfried Nijssen, and Filip Železný, eds. Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40994-3.

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40

Gunopulos, Dimitrios, Thomas Hofmann, Donato Malerba, and Michalis Vazirgiannis, eds. Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23780-5.

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41

Gunopulos, Dimitrios, Thomas Hofmann, Donato Malerba, and Michalis Vazirgiannis, eds. Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23783-6.

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42

Gunopulos, Dimitrios, Thomas Hofmann, Donato Malerba, and Michalis Vazirgiannis, eds. Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23808-6.

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43

Flach, Peter A., Tijl De Bie, and Nello Cristianini, eds. Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33460-3.

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44

Flach, Peter A., Tijl De Bie, and Nello Cristianini, eds. Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33486-3.

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45

Hutter, Frank, Kristian Kersting, Jefrey Lijffijt, and Isabel Valera, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67664-3.

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46

Hutter, Frank, Kristian Kersting, Jefrey Lijffijt, and Isabel Valera, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67661-2.

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47

Hutter, Frank, Kristian Kersting, Jefrey Lijffijt, and Isabel Valera, eds. Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67658-2.

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48

Hamel, Lutz. Knowledge discovery with support vector machines. Hoboken, N.J: John Wiley & Sons, 2009.

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49

NATO Advanced Research Workshop on Machine Intelligence and Knowledge Engineering for Robotic Applications (1986 Maratea, Italy). Machine intelligence and knowledge engineering for robotic applications. Berlin: Springer-Verlag, 1987.

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50

Rory, Johnston, ed. The creative computer: Machine intelligence and human knowledge. Harmondsworth: Penguin, 1985.

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