Research Areas Christoph F. Eick Supervised Clustering Supervised clustering algorithms Using supervised clustering to enhance classifiers Using supervised clustering for region discovery in spatial data mining new! Adaptive clustering Learning subclasses Tools for Similarity Assessment and Distance Function Learning Data Set Compression /Creating Meta Knowledge for (Local) Learning Techniques Inductive Learning/Data Mining Decision trees, nearest neighbor classifiers Making sense of data Using clustering as a preprocessing step to enhance classifiers Data Mining and Information Retrieval for Structured Data Other: Evolutionary Computing, File Prediction, Ontologies, Heuristic Search, Reinforcement Learning, Traditional Clustering, Data Models.

Research Christoph F. Eick 2005/2006 Clustering for Classification Editing / Data Set Compression Supervised Clustering Distance Function Learning Spatial Data Mining Adaptive Clustering Mining Data Streams Online Data Mining Mining Sensor Data Measures of Interestingness Mining Semi-Structured Data Web Annotation