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Machine learning and knowledge disco...
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Machine learning and knowledge discovery in databasesEuropean Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019 : proceedings.Part I /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Machine learning and knowledge discovery in databasesedited by Ulf Brefeld ... [et al.].
其他題名:
European Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019 : proceedings.
其他題名:
ECML PKDD 2019
其他作者:
Brefeld, Ulf.
團體作者:
出版者:
Cham :Springer International Publishing :2020.
面頁冊數:
xlvi, 766 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Machine learningCongresses.
電子資源:
https://doi.org/10.1007/978-3-030-46150-8
ISBN:
9783030461508$q(electronic bk.)
Machine learning and knowledge discovery in databasesEuropean Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019 : proceedings.Part I /
Machine learning and knowledge discovery in databases
European Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019 : proceedings.Part I /[electronic resource] :ECML PKDD 2019edited by Ulf Brefeld ... [et al.]. - Cham :Springer International Publishing :2020. - xlvi, 766 p. :ill., digital ;24 cm. - Lecture notes in computer science,119060302-9743 ;. - Lecture notes in computer science ;4891..
Pattern Mining -- Clustering, Anomaly and Outlier Detection, and Autoencoders -- Dimensionality Reduction and Feature Selection -- Social Networks and Graphs -- Decision Trees, Interpretability, and Causality -- Strings and Streams -- Privacy and Security -- Optimization.
Chapter "Heavy-tailed Kernels Reveal a Finer Cluster Structure in t-SNE Visualisations" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
ISBN: 9783030461508$q(electronic bk.)
Standard No.: 10.1007/978-3-030-46150-8doiSubjects--Topical Terms:
384498
Machine learning
--Congresses.
LC Class. No.: Q325.5
Dewey Class. No.: 006.31
Machine learning and knowledge discovery in databasesEuropean Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019 : proceedings.Part I /
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