Prof. Dr. Wolfgang Lehner (Fakultät Informatik, Institut Systemarchitektur, Professur Datenbanken) 41 bis 50 von 106 EinträgenHabich, D.; Hahmann, M.; Lehner, W.: Parameterfreies Data Mining mittels Multi-Level Ansatz. In: Lernen, Wissensentdeckung und Adaptivität - Knowledge Discovery, Data Mining und Maschinelles Lernen (2007)Klein, A.; Lehner, W.; Gemulla, R.; Rösch, P.: Derby/S: A DBMS for Sample-Based Query Answering (Demo). In: Proceedings of 2006 ACM SIGMOD International Conference on Management of Data (SIGMOD 2006, Chicago, USA, 26-29 June) (2006)Richly, S.; Habich, D.; Lehner, W.: GignoMDA - Generation of Complex Database Applications. In: Tagungsband des 18. Workshop "Grundlagen von Datenbanken" der GI (GvD'06, Wittenberg, Germany, 6. - 9. Juni (2006)Gemulla, R.; Lehner, W.; Haas, P.: A Dip in the Reservoir: Maintaining Sample Synopses of Evolving Datasets. In: Proceedings of 32nd International Conference on Very Large Data Bases (VLDB 2006, Seoul, Korea, 12-15 September) (2006)Rösch, Philipp; Lehner, Wolfgang; Gemulla, Rainer: Designing Random Sampling Synopses with Outliers (Poster. In: Proceedings of the 24th International Conference on Data Engineering (ICDE 2008, Cancun, 07.04.-12.04.), (2008)Preißler, Steffen; Habich, Dirk; Lehner, Wolfgang: Standing Processes in Service-oriented Environments. In: Proceedings of the 2009 IEEE Congress on Services (SERVICES 2009, 7-10 July 2009, Los Angeles, CA, USA), (2009)Schlegel, Benjamin; Gemulla, Rainer; Wolfgang, Lehner: k-Ary Search on Modern Processors. In: Proceedings of the Fifth International Workshop on Data Management on New Hardware (2009)Thiele, Maik; Kiefer, Tim; Lehner, Wolfgang: Cardinality Estimation in ETL Processes. In: Proceedings of the 12th ACM international workshop on Data warehousing and OLAP (2009)Eberius, Jilian; Thiele, Maik; Lehner, Wolfgang: A Domain-Specic Language for Do-It-Yourself Analytical Mashups. In: Web Engineering, 11th International Conference (ICWE 2011), Paphos, Cyprus, (2011)Hahmann, M.; Habich, D.; Lehner, W.: Evolving Ensemble-Clustering to a Feedback-Driven Process;. In: Proceedings of the IEEE ICDM Workshop on Visual Analytics and Knowledge Discovery(VAKD 2010 (2010)Zurück 1 2 3 4 5 6 7 8 9 10 WeiterDiese Informationen werden vom Vorgängersystem FIS bereitgestellt.