Florian Richter

Affiliations:
  • Ludwig-Maximilians-Universität München (LMU Munich), Germany


According to our database1, Florian Richter authored at least 21 papers between 2015 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2021
SCORER-Gap: Sequentially Correlated Rules for Event Recommendation Considering Gap Size.
Proceedings of the 2021 International Conference on Data Mining, 2021

PErrCas: Process Error Cascade Mining in Trace Streams.
Proceedings of the Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31, 2021

2020
Efficient Infrequent Pattern Mining Using Negative Itemset Tree.
Proceedings of the Complex Pattern Mining - New Challenges, Methods and Applications, 2020

"Show Me the Crowds!" Revealing Cluster Structures Through AMTICS.
Data Sci. Eng., 2020

k-Nearest Neighbor based Clustering with Shape Alternation Adaptivity.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation.
Proceedings of the Process Mining Workshops, 2020

OTOSO: Online Trace Ordering for Structural Overviews.
Proceedings of the Process Mining Workshops, 2020

TOAD: Trace Ordering for Anomaly Detection.
Proceedings of the 2nd International Conference on Process Mining, 2020

Performance Skyline: Inferring Process Performance Models from Interval Events.
Proceedings of the Process Mining Workshops, 2020

AMTICS: Aligning Micro-clusters to Identify Cluster Structures.
Proceedings of the Database Systems for Advanced Applications, 2020

TADE: Stochastic Conformance Checking Using Temporal Activity Density Estimation.
Proceedings of the Business Process Management - 18th International Conference, 2020

2019
Looking into the TESSERACT: Time-drifts in event streams using series of evolving rolling averages of completion times.
Inf. Syst., 2019

LSCMiner: Efficient Low Support Closed Itemsets Mining.
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

Model-Aware Clustering of Non-conforming Traces.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2019 Conferences, 2019

Temporal Deviations on Event Sequences.
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

k-process: Model-Conformance-based Clustering of Process Instances.
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

LIProMa: Label-Independent Process Matching.
Proceedings of the Business Process Management Workshops, 2019

2018
Interdisciplinary knowledge cohesion through distributed information management systems.
J. Inf. Commun. Ethics Soc., 2018

Efficient Infrequent Itemset Mining Using Depth-First and Top-Down Lattice Traversal.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
TESSERACT: Time-Drifts in Event Streams Using Series of Evolving Rolling Averages of Completion Times.
Proceedings of the Business Process Management - 15th International Conference, 2017

2015
Efficient Process Discovery From Event Streams Using Sequential Pattern Mining.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015


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