Matches in DBpedia 2014 for { ?s ?p Hans-Peter Kriegel (1 October 1948, Germany) is a German computer scientist and professor at the Ludwig Maximilian University of Munich and leading the Database Systems Group in the Department of Computer Science.His most important contributions are the database index structures R*-tree, X-tree and IQ-Tree, the cluster analysis algorithms DBSCAN, OPTICS and SUBCLU and the anomaly detection method Local Outlier Factor (LOF).In 2009 the Association for Computing Machinery appointed Hans-Peter Kriegel a "fellow", one of its highest honors. He has been honored in particular for his contributions to "knowledge discovery and data mining, similarity search, spatial data management, and access methods for high-dimensional data".He received the 2013 IEEE ICDM Research Contributions Award for his research on data mining algorithm such as DBSCAN, OPTICS, Local Outlier Factor and his work on mining high-dimensional data.He is the most cited German researcher in databases and data mining.His current research is focused around correlation clustering, high-dimensional data indexing and analysis, spatial data mining and spatial data management as well as multimedia databases.His research group publishes a Java software framework titled Environment for DeveLoping KDD-Applications Supported by Index-Structures (ELKI) that is designed for the parallel research of index structures, data mining algorithms and their interaction, such as optimized data mining algorithms based on databases indexes.. }
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- Hans-Peter_Kriegel abstract "Hans-Peter Kriegel (1 October 1948, Germany) is a German computer scientist and professor at the Ludwig Maximilian University of Munich and leading the Database Systems Group in the Department of Computer Science.His most important contributions are the database index structures R*-tree, X-tree and IQ-Tree, the cluster analysis algorithms DBSCAN, OPTICS and SUBCLU and the anomaly detection method Local Outlier Factor (LOF).In 2009 the Association for Computing Machinery appointed Hans-Peter Kriegel a "fellow", one of its highest honors. He has been honored in particular for his contributions to "knowledge discovery and data mining, similarity search, spatial data management, and access methods for high-dimensional data".He received the 2013 IEEE ICDM Research Contributions Award for his research on data mining algorithm such as DBSCAN, OPTICS, Local Outlier Factor and his work on mining high-dimensional data.He is the most cited German researcher in databases and data mining.His current research is focused around correlation clustering, high-dimensional data indexing and analysis, spatial data mining and spatial data management as well as multimedia databases.His research group publishes a Java software framework titled Environment for DeveLoping KDD-Applications Supported by Index-Structures (ELKI) that is designed for the parallel research of index structures, data mining algorithms and their interaction, such as optimized data mining algorithms based on databases indexes.".