Ingo Mierswa

According to our database, Ingo Mierswa authored at least 22 papers between 2004 and 2016.

Collaborative distances:

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

2016

The Wisdom of Crowds: Best Practices for Data Prep & Machine Learning Derived from Millions of Data Science Workflows.

Ingo Mierswa

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2009

Rapid Miner.

Ingo Mierswa

Künstliche Intell., 2009

Nichtkonvexe und Multikriterielle Optimierung für Data Mining.

Ingo Mierswa

Proceedings of the Ausgezeichnete Informatikdissertationen 2009, 2009

Non-Convex and Multi-Objective Optimization in Data Mining - Non-Convex and Multi-Objective Optimization for Statistical Learning and Numerical Feature Engineering.

Ingo Mierswa

PhD thesis, 2009

2008

About the non-convex optimization problem induced by non-positive semidefinite kernel learning.

Ingo Mierswa, Katharina Morik

Adv. Data Anal. Classif., 2008

On the Automated Creation of Understandable Positive Security Models for Web Applications.

Christian Bockermann, Ingo Mierswa, Katharina Morik

Proceedings of the Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2008), 2008

2007

Regularization through Multi-Objective Optimization.

Ingo Mierswa

Proceedings of the LWA 2007: Lernen - Wissen, 2007

Workshop on Knowledge Discovery, Data Mining, and Machine Learning and Workshop on Bioinformatics.

Alexander Hinneburg, Ralf Klinkenberg, Ingo Mierswa, Stefan Posch, Steffen Neumann

Proceedings of the LWA 2007: Lernen - Wissen, 2007

Controlling overfitting with multi-objective support vector machines.

Ingo Mierswa

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006

Sound Multi-objective Feature Space Transformation for Clustering.

Ingo Mierswa, Michael Wurst

Proceedings of the LWA 2006: Lernen - Wissensentdeckung - Adaptivität, Hildesheim, Deutschland, October 9th-11th 2006, joint workshop event of several interest groups of the German Society for Informatics (GI) - 14th Workshop on Adaptivity and User Modeling in Interactive Systems (ABIS 2006) - Workshop Information Retrieval 2006 of the Special Interest Group Information Retrieval (FGIR 2006) - Workshop on Knowledge and Experience Management (FGWM 2006), 2006

Understandable models Of music collections based on exhaustive feature generation with temporal statistics.

Fabian Mörchen, Ingo Mierswa, Alfred Ultsch

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

YALE: rapid prototyping for complex data mining tasks.

Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Martin Scholz, Timm Euler

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Information preserving multi-objective feature selection for unsupervised learning.

Ingo Mierswa, Michael Wurst

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Evolutionary learning with kernels: a generic solution for large margin problems.

Ingo Mierswa

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Localized Alternative Cluster Ensembles for Collaborative Structuring.

Michael Wurst, Katharina Morik, Ingo Mierswa

Proceedings of the Machine Learning: ECML 2006, 2006

2005

Automatic Feature Extraction for Classifying Audio Data.

Ingo Mierswa, Katharina Morik

Mach. Learn., 2005

Merkmalsextraktion aus Audiodaten Evolutionäre Aufzucht von Methodenbäumen.

Ingo Mierswa, Katharina Morik

Inform. Spektrum, 2005

A Benchmark Dataset for Audio Classification and Clustering.

Helge Homburg, Ingo Mierswa, Bülent Möller, Katharina Morik, Michael Wurst

Proceedings of the ISMIR 2005, 2005

Method trees: building blocks for self-organizable representations of value series: how to evolve representations for classifying audio data.

Ingo Mierswa, Katharina Morik

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants.

Ingo Mierswa

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Efficient Case Based Feature Construction.

Ingo Mierswa, Michael Wurst

Proceedings of the Machine Learning: ECML 2005, 2005

2004

Automatic Feature Extraction from Large Time Series.

Ingo Mierswa

Proceedings of the Classification, 2004