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ORCIDFlorian Richter 0001
Person information
- affiliation: Ludwig-Maximilians-Universität München (LMU Munich), Germany
Other persons with the same name
- Florian Richter 0002
![[0000-0002-7669-1923]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-7669-1923")
— University of California San Diego, La Jolla, CA, USA - Florian Richter 0003 — Instituto Tecnológico y de Estudios Superiores de Monterrey, Monterrey, Mexico
- Florian Richter 0004 — Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
- Florian Richter 0005 — Freiberg University of Mining and Technology, Germany
- Florian Richter 0006 — Technische Hochschule Ingolstadt, Germany
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2020 – today
- 2021
[c17]Anna Wimbauer, Florian Richter, Thomas Seidl:
PErrCas: Process Error Cascade Mining in Trace Streams. ICPM Workshops 2021: 224-236- [c16]Ludwig Zellner, Janina Sontheim, Florian Richter, Gabriel Lindner, Thomas Seidl:
SCORER-Gap: Sequentially Correlated Rules for Event Recommendation Considering Gap Size. ICDM (Workshops) 2021: 925-934 - 2020
- [j3]Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl:
"Show Me the Crowds!" Revealing Cluster Structures Through AMTICS. Data Sci. Eng. 5(4): 360-374 (2020) - [c15]Florian Richter, Janina Sontheim, Ludwig Zellner, Thomas Seidl:
TADE: Stochastic Conformance Checking Using Temporal Activity Density Estimation. BPM 2020: 220-236 - [c14]Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl:
AMTICS: Aligning Micro-clusters to Identify Cluster Structures. DASFAA (1) 2020: 752-768 - [c13]Florian Richter, Yifeng Lu, Ludwig Zellner, Janina Sontheim, Thomas Seidl:
TOAD: Trace Ordering for Anomaly Detection. ICPM 2020: 169-176 - [c12]Ludwig Zellner, Florian Richter, Janina Sontheim, Andrea Maldonado, Thomas Seidl:
Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation. ICPM Workshops 2020: 206-217 - [c11]Florian Richter, Andrea Maldonado, Ludwig Zellner, Thomas Seidl:
OTOSO: Online Trace Ordering for Structural Overviews. ICPM Workshops 2020: 218-229 - [c10]Andrea Maldonado, Janina Sontheim, Florian Richter, Thomas Seidl:
Performance Skyline: Inferring Process Performance Models from Interval Events. ICPM Workshops 2020: 230-242 - [c9]Yifeng Lu, Yao Zhang, Florian Richter, Thomas Seidl:
k-Nearest Neighbor based Clustering with Shape Alternation Adaptivity. IJCNN 2020: 1-8 - [p1]Yifeng Lu, Florian Richter, Thomas Seidl:
Efficient Infrequent Pattern Mining Using Negative Itemset Tree. Complex Pattern Mining 2020: 1-16
2010 – 2019
- 2019
- [j2]Florian Richter, Thomas Seidl:
Looking into the TESSERACT: Time-drifts in event streams using series of evolving rolling averages of completion times. Inf. Syst. 84: 265-282 (2019) - [c8]Florian Richter, Ludwig Zellner, Imen Azaiz, David Winkel, Thomas Seidl:
LIProMa: Label-Independent Process Matching. Business Process Management Workshops 2019: 186-198 - [c7]Florian Richter, Florian Wahl, Alona Sydorova, Thomas Seidl:
k-process: Model-Conformance-based Clustering of Process Instances. LWDA 2019: 161-172 - [c6]Janina Sontheim, Florian Richter, Thomas Seidl:
Temporal Deviations on Event Sequences. LWDA 2019: 173-177 - [c5]Florian Richter, Ludwig Zellner, Janina Sontheim, Thomas Seidl:
Model-Aware Clustering of Non-conforming Traces. OTM Conferences 2019: 193-200 - [c4]Yifeng Lu, Florian Richter, Thomas Seidl:
LSCMiner: Efficient Low Support Closed Itemsets Mining. WISE 2019: 293-309 - 2018
- [j1]Daniel Kaltenthaler, Johannes-Y. Lohrer, Florian Richter, Peer Kröger:
Interdisciplinary knowledge cohesion through distributed information management systems. J. Inf. Commun. Ethics Soc. 16(4): 413-426 (2018) - [c3]Yifeng Lu, Florian Richter, Thomas Seidl:
Efficient Infrequent Itemset Mining Using Depth-First and Top-Down Lattice Traversal. DASFAA (1) 2018: 908-915 - 2017
- [c2]Florian Richter, Thomas Seidl:
TESSERACT: Time-Drifts in Event Streams Using Series of Evolving Rolling Averages of Completion Times. BPM 2017: 289-305 - 2015
- [c1]Marwan Hassani, Sergio Siccha, Florian Richter, Thomas Seidl:
Efficient Process Discovery From Event Streams Using Sequential Pattern Mining. SSCI 2015: 1366-1373
Coauthor Index
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