Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I / [electronic resource] :
edited by Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet.
- 1st ed. 2020.
- XLVI, 766 p. 344 illus., 196 illus. in color. online resource.
- Lecture Notes in Artificial Intelligence, 11906 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 11906 .
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.
9783030461508
10.1007/978-3-030-46150-8 doi
Artificial intelligence.
Database management.
Application software.
Computer engineering.
Computer networks .
Computers.
Artificial Intelligence.
Database Management System.
Computer and Information Systems Applications.
Computer Engineering and Networks.
Computing Milieux.
Q334-342 TA347.A78
006.3
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.
9783030461508
10.1007/978-3-030-46150-8 doi
Artificial intelligence.
Database management.
Application software.
Computer engineering.
Computer networks .
Computers.
Artificial Intelligence.
Database Management System.
Computer and Information Systems Applications.
Computer Engineering and Networks.
Computing Milieux.
Q334-342 TA347.A78
006.3