![[höher]](/style/images/multi_up.png)
Eine Ebene höherGruppiert nach: Dokumententyp |
Veröffentlichungsdatum
Anzahl der Publikationen: 6
2020
Richter, Florian; Lu, Yifeng; Kazempour, Daniyal und Seidl, Thomas
(2020):
Show Me the Crowds! Revealing Cluster Structures Through AMTICS.
In: Data Science and Engineering, Bd. 5, Nr. 4: S. 360-374
Lu, Yifeng; Zhang, Yao; Richter, Florian und Seidl, Thomas
(2020):
k-Nearest Neighbor based Clustering with Shape Alternation Adaptivity.
In: 2020 International Joint Conference on Neural Networks (Ijcnn)
Richter, Florian; Lu, Yifeng; Zellner, Ludwig; Sontheim, Janina und Seidl, Thomas
(2020):
TOAD: Trace Ordering for Anomaly Detection.
In: 2020 2nd International Conference on Process Mining (ICPM 2020): S. 169-176
2019
Peng, Zirong; Lu, Yifeng; Hatzoglou, Constantinos; da Silva, Alisson Kwiatkowski; Vurpillot, Francois; Ponge, Dirk; Raabe, Dierk und Gault, Baptiste
(2019):
An Automated Computational Approach for Complete In-Plane Compositional Interface Analysis by Atom Probe Tomography.
In: Microscopy and Microanalysis, Bd. 25, Nr. 2: S. 389-400
2018
Lu, Yifeng und Seidl, Thomas
(2018):
Towards Efficient Closed Infrequent Itemset Mining using Bi-directional Traversing.
In: 2018 Ieee 5Th International Conference on Data Science and Advanced Analytics (Dsaa): S. 140-149
2016
Hassani, Marwan; Lu, Yifeng; Wischnewsky, Jens und Seidl, Thomas
(2016):
A Geometric Approach for Mining Sequential Patterns in Interval-Based Data Streams.
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Vancouver, Canada, 24-29 July 2016.
IEEE Computer Society. S. 2128-2135