Thomas Seidl 0001

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Florian Richter 0001

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Publications

2021
[c285]
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  - conf/icpm/Wimbauer0021
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Anna Wimbauer, Florian Richter, Thomas Seidl:
PErrCas: Process Error Cascade Mining in Trace Streams. ICPM Workshops 2021: 224-236
[c282]
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  - conf/incdm/ZellnerSRLS21
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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
[j44]
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  - journals/dase/RichterLKS20
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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)
[c279]
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  - conf/bpm/RichterSZS20
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Florian Richter, Janina Sontheim, Ludwig Zellner, Thomas Seidl:
TADE: Stochastic Conformance Checking Using Temporal Activity Density Estimation. BPM 2020: 220-236
[c277]
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  - conf/dasfaa/RichterLKS20
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Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl:
AMTICS: Aligning Micro-clusters to Identify Cluster Structures. DASFAA (1) 2020: 752-768
[c270]
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  - conf/icpm/RichterLZS020
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Florian Richter, Yifeng Lu, Ludwig Zellner, Janina Sontheim, Thomas Seidl:
TOAD: Trace Ordering for Anomaly Detection. ICPM 2020: 169-176
[c269]
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  - conf/icpm/ZellnerRSM020
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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
[c268]
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  - conf/icpm/RichterMZ020
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Florian Richter, Andrea Maldonado, Ludwig Zellner, Thomas Seidl:
OTOSO: Online Trace Ordering for Structural Overviews. ICPM Workshops 2020: 218-229
[c267]
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  - conf/icpm/MaldonadoSRS20
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Andrea Maldonado, Janina Sontheim, Florian Richter, Thomas Seidl:
Performance Skyline: Inferring Process Performance Models from Interval Events. ICPM Workshops 2020: 230-242
[c265]
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  - conf/ijcnn/LuZR020
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Yifeng Lu, Yao Zhang, Florian Richter, Thomas Seidl:
k-Nearest Neighbor based Clustering with Shape Alternation Adaptivity. IJCNN 2020: 1-8
[p5]
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  - series/sci/LuR020
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Yifeng Lu, Florian Richter, Thomas Seidl:
Efficient Infrequent Pattern Mining Using Negative Itemset Tree. Complex Pattern Mining 2020: 1-16
2019
[j39]
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  - journals/is/RichterS19
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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)
[c260]
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  - conf/bpm/RichterZAW019
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Florian Richter, Ludwig Zellner, Imen Azaiz, David Winkel, Thomas Seidl:
LIProMa: Label-Independent Process Matching. Business Process Management Workshops 2019: 186-198
[c248]
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  - conf/lwa/RichterWS019
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Florian Richter, Florian Wahl, Alona Sydorova, Thomas Seidl:
k-process: Model-Conformance-based Clustering of Process Instances. LWDA 2019: 161-172
[c247]
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  - conf/lwa/SontheimR019
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Janina Sontheim, Florian Richter, Thomas Seidl:
Temporal Deviations on Event Sequences. LWDA 2019: 173-177
[c246]
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  - conf/otm/RichterZS019
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Florian Richter, Ludwig Zellner, Janina Sontheim, Thomas Seidl:
Model-Aware Clustering of Non-conforming Traces. OTM Conferences 2019: 193-200
[c237]
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  - conf/wise/LuR019
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Yifeng Lu, Florian Richter, Thomas Seidl:
LSCMiner: Efficient Low Support Closed Itemsets Mining. WISE 2019: 293-309
2018
[c236]
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  - conf/dasfaa/LuR018
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Yifeng Lu, Florian Richter, Thomas Seidl:
Efficient Infrequent Itemset Mining Using Depth-First and Top-Down Lattice Traversal. DASFAA (1) 2018: 908-915
2017
[c229]
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  - conf/bpm/RichterS17
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Florian Richter, Thomas Seidl:
TESSERACT: Time-Drifts in Event Streams Using Series of Evolving Rolling Averages of Completion Times. BPM 2017: 289-305
2015
[c189]
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  - conf/ssci/HassaniSR015
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Marwan Hassani, Sergio Siccha, Florian Richter, Thomas Seidl:
Efficient Process Discovery From Event Streams Using Sequential Pattern Mining. SSCI 2015: 1366-1373

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