Efficient Process Discovery From Event Streams Using Sequential Pattern Mining. - Marwan Hassani; Sergio Siccha; Florian Richter 001; Thomas Seidl 001 (SSCI, 2015)

TESSERACT: Time-Drifts in Event Streams Using Series of Evolving Rolling Averages of Completion Times. - Florian Richter 001; Thomas Seidl 001 (BPM, 2017)

Efficient Infrequent Itemset Mining Using Depth-First and Top-Down Lattice Traversal. - Yifeng Lu; Florian Richter 001; Thomas Seidl 001 (DASFAA (1), 2018)

Interdisciplinary knowledge cohesion through distributed information management systems. - Daniel Kaltenthaler; Johannes-Y. Lohrer; Florian Richter 001; Peer Kröger (J. Inf. Commun. Ethics Soc., 2018)

LIProMa: Label-Independent Process Matching. - Florian Richter 001; Ludwig Zellner; Imen Azaiz; David Winkel; Thomas Seidl 001 (Business Process Management Workshops, 2019)

k-process: Model-Conformance-based Clustering of Process Instances. - Florian Richter 001; Florian Wahl; Alona Sydorova; Thomas Seidl 001 (LWDA, 2019)

Temporal Deviations on Event Sequences. - Janina Sontheim; Florian Richter 001; Thomas Seidl 001 (LWDA, 2019)

Model-Aware Clustering of Non-conforming Traces. - Florian Richter 001; Ludwig Zellner; Janina Sontheim; Thomas Seidl 001 (OTM Conferences, 2019)

LSCMiner: Efficient Low Support Closed Itemsets Mining. - Yifeng Lu; Florian Richter 001; Thomas Seidl 001 (WISE, 2019)

Looking into the TESSERACT: Time-drifts in event streams using series of evolving rolling averages of completion times. - Florian Richter 001; Thomas Seidl 001 (Inf. Syst., 2019)

TADE: Stochastic Conformance Checking Using Temporal Activity Density Estimation. - Florian Richter 001; Janina Sontheim; Ludwig Zellner; Thomas Seidl 001 (BPM, 2020)

AMTICS: Aligning Micro-clusters to Identify Cluster Structures. - Florian Richter 001; Yifeng Lu; Daniyal Kazempour; Thomas Seidl 001 (DASFAA (1), 2020)

Performance Skyline: Inferring Process Performance Models from Interval Events. - Andrea Maldonado 001; Janina Sontheim; Florian Richter 001; Thomas Seidl 001 (ICPM Workshops, 2020)

TOAD: Trace Ordering for Anomaly Detection. - Florian Richter 001; Yifeng Lu; Ludwig Zellner; Janina Sontheim; Thomas Seidl 001 (ICPM, 2020)

OTOSO: Online Trace Ordering for Structural Overviews. - Florian Richter 001; Andrea Maldonado 001; Ludwig Zellner; Thomas Seidl 001 (ICPM Workshops, 2020)

Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation. - Ludwig Zellner; Florian Richter 001; Janina Sontheim; Andrea Maldonado 001; Thomas Seidl 001 (ICPM Workshops, 2020)

k-Nearest Neighbor based Clustering with Shape Alternation Adaptivity. - Yifeng Lu; Yao Zhang; Florian Richter 001; Thomas Seidl 001 (IJCNN, 2020)

"Show Me the Crowds!" Revealing Cluster Structures Through AMTICS. - Florian Richter 001; Yifeng Lu; Daniyal Kazempour; Thomas Seidl 001 (Data Sci. Eng., 2020)

Efficient Infrequent Pattern Mining Using Negative Itemset Tree. - Yifeng Lu; Florian Richter 001; Thomas Seidl 001 (Complex Pattern Mining, 2020)

PErrCas: Process Error Cascade Mining in Trace Streams. - Anna Wimbauer; Florian Richter 001; Thomas Seidl 001 (ICPM Workshops, 2021)

SCORER-Gap: Sequentially Correlated Rules for Event Recommendation Considering Gap Size. - Ludwig Zellner; Janina Sontheim; Florian Richter 001; Gabriel Lindner; Thomas Seidl 001 (ICDM (Workshops), 2021)