Fuzzy shell clustering algorithms in image processing: fuzzy C-rectangular and 2-rectangular shells. - Frank Hoeppner (IEEE Trans. Fuzzy Syst., 1997)

Obtaining interpretable fuzzy models from fuzzy clustering and fuzzy regression. - Frank Höppner; Frank Klawonn (KES, 2000)

Discovery of Temporal Patterns. Learning Rules about the Qualitative Behaviour of Time Series. - Frank Höppner (PKDD, 2001)

Handling Feature Ambiguity in Knowledge Discovery from Time Series. - Frank Höppner (Discovery Science, 2002)

Discovery of Core Episodes from Sequences. - Frank Höppner (Pattern Detection and Discovery, 2002)

Fuzzy information granules in time series data. - Marco Ortolani; Heiko Hofer; David E. Patterson; Frank Höppner; Michael R. Berthold (FUZZ-IEEE, 2002)

Time Series Abstraction Methods - A Survey. - Frank Höppner (GI Jahrestagung, 2002)

Speeding up fuzzy c-means: using a hierarchical data organisation to control the precision of membership calculation. - Frank Höppner (Fuzzy Sets Syst., 2002)

Finding informative rules in interval sequences. - Frank Höppner; Frank Klawonn (Intell. Data Anal., 2002)

Learning indistinguishability from data. - Frank Höppner; Frank Klawonn; Patrik Eklund (Soft Comput., 2002)

An alternative approach to the fuzzifier in fuzzy clustering to obtain better clustering. - Frank Klawonn; Frank Höppner (EUSFLAT Conf., 2003)

What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier. - Frank Klawonn; Frank Höppner (IDA, 2003)

Improved fuzzy partitions for fuzzy regression models. - Frank Höppner; Frank Klawonn (Int. J. Approx. Reason., 2003)

A contribution to convergence theory of fuzzy c-means and derivatives. - Frank Höppner; Frank Klawonn (IEEE Trans. Fuzzy Syst., 2003)

Knowledge discovery from sequential data. - Frank Höppner (2003)

Local Pattern Detection and Clustering. - Frank Höppner (Local Pattern Detection, 2004)

Fuzzy information granules in time series data. - Michael R. Berthold; Marco Ortolani; David E. Patterson; Frank Höppner; Ondine Callan; Heiko Hofer (Int. J. Intell. Syst., 2004)

Association Rules. - Frank Höppner (The Data Mining and Knowledge Discovery Handbook, 2005)

Objective Function-based Discretization. - Frank Höppner (GfKl, 2005)

Equi-sized, Homogeneous Partitioning. - Frank Klawonn; Frank Höppner (KES (2), 2006)

Einführung in die Softwareentwicklung - vom Programmieren zur erfolgreichen Software-Projektarbeit: am Beispiel von Java und C++. - Hartmut Helmke; Frank Höppner; Rolf Isernhagen (Hanser, 2007)

Reliably Capture Local Clusters in Noisy Domains From Parallel Universes. - Frank Höppner; Mirko Böttcher (Parallel Universes and Local Patterns, 2007)

Landscape Multidimensional Scaling. - Katharina Tschumitschew; Frank Klawonn; Frank Höppner; Vitaliy Kolodyazhniy (IDA, 2007)

Classification Based on the Trace of Variables over Time. - Frank Höppner; Alexander Topp (IDEAL, 2007)

Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains. - Frank Höppner; Mirko Böttcher (PKDD, 2007)

On exploiting the power of time in data mining. - Mirko Böttcher; Frank Höppner; Myra Spiliopoulou (SIGKDD Explor., 2008)

Clustering with Size Constraints. - Frank Höppner; Frank Klawonn (Computational Intelligence Paradigms, 2008)

Fuzzy Cluster Analysis of Larger Data Sets. - Roland Winkler; Frank Klawonn; Frank Höppner; Rudolf Kruse (Scalable Fuzzy Algorithms for Data Management and Analysis, 2009)

Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation. - Frank Höppner; Frank Klawonn (IDA, 2009)

How Much True Structure Has Been Discovered? - Frank Höppner (MLDM, 2009)

Finding Temporal Patterns Using Constraints on (Partial) Absence, Presence and Duration. - Sebastian Peter; Frank Höppner (KES (1), 2010)

Learning in parallel universes. - Bernd Wiswedel; Frank Höppner; Michael R. Berthold (Data Min. Knowl. Discov., 2010)

Association Rules. - Frank Höppner (Data Mining and Knowledge Discovery Handbook, 2010)

Guide to Intelligent Data Analysis - How to Intelligently Make Sense of Real Data. - Michael R. Berthold; Christian Borgelt; Frank Höppner; Frank Klawonn (Springer, 2010)

An Alternative to ROC and AUC Analysis of Classifiers. - Frank Klawonn; Frank Höppner; Sigrun May (IDA, 2011)

What are Clusters in High Dimensions and are they Difficult to Find? - Frank Klawonn; Frank Höppner; Balasubramaniam Jayaram (CHDD, 2012)

Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval. - Sebastian Peter; Frank Höppner; Michael R. Berthold (IDA, 2012)

Pattern graphs: A knowledge-based tool for multivariate temporal pattern retrieval. - Sebastian Peter; Frank Höppner; Michael R. Berthold (IEEE Conf. of Intelligent Systems, 2012)

Pattern Graphs: Combining Multivariate Time Series and Labelled Interval Sequences for Classification. - Sebastian Peter; Frank Höppner; Michael R. Berthold (SGAI Conf., 2013)

Finding the Intrinsic Patterns in a Collection of Time Series. - Anke Schweier; Frank Höppner (IDA, 2014)

Efficient Identification of Subspaces with Small but Substantive Clusters in Noisy Datasets. - Frank Höppner (LWA, 2014)

Less is More: Similarity of Time Series under Linear Transformations. - Frank Höppner (SDM, 2014)

A subspace filter supporting the discovery of small clusters in very noisy datasets. - Frank Höppner (SSDBM, 2014)

Temporal interval pattern languages to characterize time flow. - Frank Höppner; Sebastian Peter (WIREs Data Mining Knowl. Discov., 2014)

Zur Einschätzung von Programmierfähigkeiten - Jedem Programmieranfänger über die Schultern schauen. - Bastian Schulten; Frank Höppner (ABP, 2015)

Optimal Filtering for Time Series Classification. - Frank Höppner (IDEAL, 2015)

Visual Perception of Discriminative Landmarks in Classified Time Series. - Tobias Sobek; Frank Höppner (IDA, 2016)

On Clustering Time Series Using Euclidean Distance and Pearson Correlation. - Michael R. Berthold; Frank Höppner (CoRR, 2016)

Internalizing a Viable Mental Model of Program Execution in First Year Programming Courses. - Robin Goltermann; Frank Höppner (ABP, 2017)

A Multiscale Bezier-Representation for Time Series that Supports Elastic Matching. - Frank Höppner; Tobias Sobek (ECML/PKDD (2), 2017)

Improving time series similarity measures by integrating preprocessing steps. - Frank Höppner (Data Min. Knowl. Discov., 2017)

Zur automatischen Erkennung von Fehlkonzepten bei Java-Einsteigern durch Analyse von Speicher-Protokollen. - Frank Höppner; Jan-Hendrik Hemmje (DeLFI, 2018)

Generating "Who Wants to Be a Millionaire?" Questions Sets Automatically from Wikidata. - Markus Wohlan; Yannik Schröder; Frank Höppner (SEMANTiCS (Posters & Demos), 2019)

Measuring Instruction Comprehension by Mining Memory Traces for Early Formative Feedback in Java Courses. - Frank Höppner (ITiCSE, 2019)

Holistic Assessment of Structure Discovery Capabilities of Clustering Algorithms. - Frank Höppner; Maximilian Jahnke (ECML/PKDD (1), 2019)

Taking benefit from fellow students code without copying off - making better use of students collective work. - Frank Höppner (DeLFI, 2020)

Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code. - Frank Höppner; Maximilian Jahnke (IDA, 2020)

Multidimensional Decision Tree Splits to Improve Interpretability. - Frank Höppner (KES, 2020)

Guide to Intelligent Data Science - How to Intelligently Make Use of Real Data, Second Edition - Michael R. Berthold; Christian Borgelt; Frank Höppner; Frank Klawonn; Rosaria Silipo (Springer, 2020)

Grouping Source Code by Solution Approaches - Improving Feedback in Programming Courses. - Frank Höppner (EDM, 2021)

Is there Method in Your Mistakes? Capturing Error Contexts by Graph Mining for Targeted Feedback. - Maximilian Jahnke; Frank Höppner (EDM, 2022)

Enhancing Computer Science Education by Automated Analysis of Students' Code Submissions. - Lea Eileen Brauner; Frank Höppner (ECAI Workshops (2), 2023)

Adaptivity of Card Recommendation Systems for Legends of Code and Magic. - Timo Haumann; Frank Höppner (CoG, 2024)

Estimating and Differentiating Programming Skills from Unstructured Coding Exercises via Matrix Factorization. - Fabian Pfütsch; Frank Höppner (Koli Calling, 2024)