Frank Höppner

According to our database, Frank Höppner authored at least 62 papers between 1997 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Enhancing Computer Science Education by Automated Analysis of Students' Code Submissions.

Lea Eileen Brauner, Frank Höppner

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

2022

Is there Method in Your Mistakes? Capturing Error Contexts by Graph Mining for Targeted Feedback.

Maximilian Jahnke, Frank Höppner

Proceedings of the 15th International Conference on Educational Data Mining, 2022

2021

Grouping Source Code by Solution Approaches - Improving Feedback in Programming Courses.

Frank Höppner

Proceedings of the 14th International Conference on Educational Data Mining, 2021

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

Texts in Computer Science, Springer, ISBN: 978-3-030-45573-6, 2020

Multidimensional Decision Tree Splits to Improve Interpretability.

Frank Höppner

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code.

Frank Höppner, Maximilian Jahnke

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Taking benefit from fellow students code without copying off - making better use of students collective work.

Frank Höppner

Proceedings of the DELFI 2020, 2020

2019

Holistic Assessment of Structure Discovery Capabilities of Clustering Algorithms.

Frank Höppner, Maximilian Jahnke

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Measuring Instruction Comprehension by Mining Memory Traces for Early Formative Feedback in Java Courses.

Frank Höppner

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

Generating "Who Wants to Be a Millionaire?" Questions Sets Automatically from Wikidata.

Markus Wohlan, Yannik Schröder, Frank Höppner

Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems co-located with 15th International Conference on Semantic Systems (SEMANTiCS 2019), Karlsruhe, Germany, September 9th - to, 2019

2018

Zur automatischen Erkennung von Fehlkonzepten bei Java-Einsteigern durch Analyse von Speicher-Protokollen.

Frank Höppner, Jan-Hendrik Hemmje

Proceedings of the DeLFI 2018, 2018

2017

Improving time series similarity measures by integrating preprocessing steps.

Frank Höppner

Data Min. Knowl. Discov., 2017

A Multiscale Bezier-Representation for Time Series that Supports Elastic Matching.

Frank Höppner, Tobias Sobek

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Internalizing a Viable Mental Model of Program Execution in First Year Programming Courses.

Robin Goltermann, Frank Höppner

Proceedings of the Third Workshop "Automatische Bewertung von Programmieraufgaben" (ABP 2017), 2017

2016

On Clustering Time Series Using Euclidean Distance and Pearson Correlation.

Michael R. Berthold, Frank Höppner

CoRR, 2016

Visual Perception of Discriminative Landmarks in Classified Time Series.

Tobias Sobek, Frank Höppner

Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

2015

Optimal Filtering for Time Series Classification.

Frank Höppner

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

Zur Einschätzung von Programmierfähigkeiten - Jedem Programmieranfänger über die Schultern schauen.

Bastian Schulten, Frank Höppner

Proceedings of the Second Workshop "Automatische Bewertung von Programmieraufgaben", 2015

2014

Temporal interval pattern languages to characterize time flow.

Frank Höppner, Sebastian Peter

WIREs Data Mining Knowl. Discov., 2014

A subspace filter supporting the discovery of small clusters in very noisy datasets.

Frank Höppner

Proceedings of the Conference on Scientific and Statistical Database Management, 2014

Less is More: Similarity of Time Series under Linear Transformations.

Frank Höppner

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Efficient Identification of Subspaces with Small but Substantive Clusters in Noisy Datasets.

Frank Höppner

Proceedings of the 16th LWA Workshops: KDML, 2014

Finding the Intrinsic Patterns in a Collection of Time Series.

Anke Schweier, Frank Höppner

Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

2013

Pattern Graphs: Combining Multivariate Time Series and Labelled Interval Sequences for Classification.

Sebastian Peter, Frank Höppner, Michael R. Berthold

Proceedings of the Research and Development in Intelligent Systems XXX, 2013

2012

Pattern graphs: A knowledge-based tool for multivariate temporal pattern retrieval.

Sebastian Peter, Frank Höppner, Michael R. Berthold

Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval.

Sebastian Peter, Frank Höppner, Michael R. Berthold

Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

What are Clusters in High Dimensions and are they Difficult to Find?

Frank Klawonn, Frank Höppner, Balasubramaniam Jayaram

Proceedings of the Clustering High-Dimensional Data - First International Workshop, 2012

2011

An Alternative to ROC and AUC Analysis of Classifiers.

Frank Klawonn, Frank Höppner, Sigrun May

Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

2010

Guide to Intelligent Data Analysis - How to Intelligently Make Sense of Real Data.

Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn

Texts in Computer Science 42, Springer, ISBN: 978-1-84882-260-3, 2010

Association Rules.

Frank Höppner

Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Learning in parallel universes.

Bernd Wiswedel, Frank Höppner, Michael R. Berthold

Data Min. Knowl. Discov., 2010

Finding Temporal Patterns Using Constraints on (Partial) Absence, Presence and Duration.

Sebastian Peter, Frank Höppner

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

2009

How Much <i>True</i> Structure Has Been Discovered?

Frank Höppner

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation.

Frank Höppner, Frank Klawonn

Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

Fuzzy Cluster Analysis of Larger Data Sets.

Roland Winkler, Frank Klawonn, Frank Höppner, Rudolf Kruse

Proceedings of the Scalable Fuzzy Algorithms for Data Management and Analysis, 2009

2008

Clustering with Size Constraints.

Frank Höppner, Frank Klawonn

Proceedings of the Computational Intelligence Paradigms, Innovative Applications, 2008

On exploiting the power of time in data mining.

Mirko Böttcher, Frank Höppner, Myra Spiliopoulou

SIGKDD Explor., 2008

2007

Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains.

Frank Höppner, Mirko Böttcher

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Classification Based on the Trace of Variables over Time.

Frank Höppner, Alexander Topp

Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Landscape Multidimensional Scaling.

Katharina Tschumitschew, Frank Klawonn, Frank Höppner, Vitaliy Kolodyazhniy

Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Reliably Capture Local Clusters in Noisy Domains From Parallel Universes.

Frank Höppner, Mirko Böttcher

Proceedings of the Parallel Universes and Local Patterns, 01.05. - 04.05.2007, 2007

Einführung in die Softwareentwicklung - vom Programmieren zur erfolgreichen Software-Projektarbeit: am Beispiel von Java und C++.

Hartmut Helmke, Frank Höppner, Rolf Isernhagen

Hanser, 2007

2006

Equi-sized, Homogeneous Partitioning.

Frank Klawonn, Frank Höppner

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

2005

Objective Function-based Discretization.

Frank Höppner

Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

Association Rules.

Frank Höppner

Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

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

Local Pattern Detection and Clustering.

Frank Höppner

Proceedings of the Local Pattern Detection, 2004

2003

Knowledge discovery from sequential data.

Frank Höppner

PhD thesis, 2003

A contribution to convergence theory of fuzzy c-means and derivatives.

Frank Höppner, Frank Klawonn

IEEE Trans. Fuzzy Syst., 2003

Improved fuzzy partitions for fuzzy regression models.

Frank Höppner, Frank Klawonn

Int. J. Approx. Reason., 2003

What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier.

Frank Klawonn, Frank Höppner

Proceedings of the Advances in Intelligent Data Analysis V, 2003

An alternative approach to the fuzzifier in fuzzy clustering to obtain better clustering.

Frank Klawonn, Frank Höppner

Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003

2002

Learning indistinguishability from data.

Frank Höppner, Frank Klawonn, Patrik Eklund

Soft Comput., 2002

Finding informative rules in interval sequences.

Frank Höppner, Frank Klawonn

Intell. Data Anal., 2002

Speeding up fuzzy c-means: using a hierarchical data organisation to control the precision of membership calculation.

Frank Höppner

Fuzzy Sets Syst., 2002

Time Series Abstraction Methods - A Survey.

Frank Höppner

Proceedings of the 32. Jahrestagung der Gesellschaft für Informatik, Informatik bewegt, INFORMATIK 2002, Dortmund, Germany, September 30, 2002

Fuzzy information granules in time series data.

Marco Ortolani, Heiko Hofer, David E. Patterson, Frank Höppner, Michael R. Berthold

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

Discovery of Core Episodes from Sequences.

Frank Höppner

Proceedings of the Pattern Detection and Discovery, 2002

Handling Feature Ambiguity in Knowledge Discovery from Time Series.

Frank Höppner

Proceedings of the Discovery Science, 5th International Conference, 2002

2001

Discovery of Temporal Patterns. Learning Rules about the Qualitative Behaviour of Time Series.

Frank Höppner

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

2000

Obtaining interpretable fuzzy models from fuzzy clustering and fuzzy regression.

Frank Höppner, Frank Klawonn

Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

1997

Fuzzy shell clustering algorithms in image processing: fuzzy C-rectangular and 2-rectangular shells.

Frank Hoeppner

IEEE Trans. Fuzzy Syst., 1997