000 | 03348nam a2200409Ia 4500 | ||
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000 | 11805nam a22008535i 4500 | ||
001 | 978-3-031-23633-4 | ||
003 | DE-He213 | ||
005 | 20240319121128.0 | ||
007 | cr nn 008mamaa | ||
008 | 230130s2023 sz | s |||| 0|eng d | ||
020 |
_a9783031236334 _9978-3-031-23633-4 |
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082 | _a6.3 | ||
245 |
_aMachine Learning and Principles and Practice of Knowledge Discovery in Databases _cedited by Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana, Konstantinos Sechidis, Arif Canakoglu, Sara Pido, Pietro Pinoli, Albert Bifet, Sepideh Pashami. _h[electronic resource] : |
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250 | _a1st ed. 2023. | ||
260 |
_aCham _bSpringer Nature Switzerland _c2023 |
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300 |
_aXIX, 487 p. 132 illus., 111 illus. in color. _bonline resource. |
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520 | _aThis volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19-23, 2022. The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following five workshops: Workshop on Data Science for Social Good (SoGood 2022) Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022) Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022) Workshop on Uplift Modeling (UMOD 2022) Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022) Workshop on Mining Data for Financial Application (MIDAS 2022) Workshop on Machine Learning for Cybersecurity (MLCS 2022) Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022) Workshop on Data Analysis in Life Science (DALS 2022) Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022). | ||
650 |
_aApplication software. _938889 |
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650 |
_aArtificial intelligence. _938890 |
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650 |
_aArtificial Intelligence. _938891 |
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650 |
_aComputer and Information Systems Applications. _938892 |
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650 |
_aComputer Application in Social and Behavioral Sciences. _938893 |
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650 |
_aComputer Communication Networks. _938894 |
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650 |
_aComputer networks . _938895 |
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650 |
_aComputers and Education. _938896 |
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650 |
_aEducation _938897 |
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650 |
_aSocial sciences _938898 |
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700 |
_aFröning, Holger. _938899 |
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700 |
_aGuidotti, Riccardo. _938900 |
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700 |
_aGullo, Francesco. _938901 |
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700 |
_aJaroszewicz, Szymon. _938902 |
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700 |
_aKoprinska, Irena. _938903 |
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700 |
_aMignone, Paolo. _938904 |
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856 | _uhttps://doi.org/10.1007/978-3-031-23633-4 | ||
942 |
_cEBK _2ddc |
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999 |
_c15827 _d15827 |