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Note: Links lead to the DBLP on the Web. Volker Markl Marcel Kutsch , Peter J. Haas , Volker Markl, Nimrod Megiddo , Tam Minh Tran : Integrating a Maximum-Entropy Cardinality Estimator into DB2 UDB. EDBT 2006 : 1092-1096 Stephan Ewen , Holger Kache , Volker Markl, Vijayshankar Raman : Progressive Query Optimization for Federated Queries. EDBT 2006 : 847-864 Utkarsh Srivastava , Peter J. Haas , Volker Markl, Marcel Kutsch , Tam Minh Tran : ISOMER: Consistent Histogram Construction Using Query Feedback. ICDE 2006 : 39 Stephan Ewen , Michael Ortega-Binderberger , Volker Markl: A Learning Optimizer for a Federated Database Management System. BTW 2005 : 87-106 Peter J. Haas , Mokhtar Kandil , Alberto Lerner , Volker Markl, Ivan Popivanov , Vijayshankar Raman , Daniel C. Zilio : Automated statistics collection in action. SIGMOD Conference 2005 : 933-935 Volker Markl, Nimrod Megiddo , Marcel Kutsch , Tam Minh Tran , Peter J. Haas , Utkarsh Srivastava : Consistently Estimating the Selectivity of Conjuncts of Predicates. VLDB 2005 : 373-384 Stephan Ewen , Michael Ortega-Binderberger , Volker Markl: A learning optimizer for a federated database management system. Inform., Forsch. Entwickl. 20 (3): 138-151 (2005) Ihab F. Ilyas , Volker Markl, Peter J. Haas , Paul G. Brown , Ashraf Aboulnaga : Automatic Relationship Discovery in Self-Managing Database Systems. ICAC 2004 : 340-341 Ihab F. Ilyas , Volker Markl, Peter J. Haas , Paul Brown , Ashraf Aboulnaga : CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies. SIGMOD Conference 2004 : 647-658 Volker Markl, Vijayshankar Raman , David E. Simmen , Guy M. Lohman , Hamid Pirahesh : Robust Query Processing through Progressive Optimization. SIGMOD Conference 2004 : 659-670 Ashraf Aboulnaga , Peter J. Haas , Sam Lightstone , Guy M. Lohman , Volker Markl, Ivan Popivanov , Vijayshankar Raman : Automated Statistics Collection in DB2 UDB. VLDB 2004 : 1146-1157 Vijayshankar Raman , Volker Markl, David E. Simmen , Guy M. Lohman , Hamid Pirahesh : Progressive Optimization in Action. VLDB 2004 : 1337-1340 Ihab F. Ilyas , Volker Markl, Peter J. Haas , Paul G. Brown , Ashraf Aboulnaga : CORDS: Automatic Generation of Correlation Statistics in DB2. VLDB 2004 : 1341-1344 Kenneth A. Ross , Peter A. Boncz , Ihab F. Ilyas , Volker Markl, Vasilis Vassalos : Reminiscences on Influential Papers. SIGMOD Record 33 (4): 91-92 (2004) Roland Pieringer , Klaus Elhardt , Frank Ramsak , Volker Markl, Robert Fenk , Rudolf Bayer : Transbase: a Leading-edge ROLAP Engine Supporting Multidimensional Indexing and Hierarchy Clustering. BTW 2003 : 648-667 Roland Pieringer , Klaus Elhardt , Frank Ramsak , Volker Markl, Robert Fenk , Rudolf Bayer , Nikos Karayannidis , Aris Tsois , Timos K. Sellis : Combining Hierarchy Encoding and Pre-Grouping: Intelligent Grouping in Star Join Processing. ICDE 2003 : 329-340 Volker Markl, Guy M. Lohman , Vijayshankar Raman : LEO: An autonomic query optimizer for DB2. IBM Systems Journal 42 (1): 98-106 (2003) Robert Fenk , Volker Markl, Rudolf Bayer : Interval Processing with the UB-Tree. IDEAS 2002 : 12-22 Volker Markl, Guy M. Lohman : Learning table access cardinalities with LEO. SIGMOD Conference 2002 : 613 Nikos Karayannidis , Aris Tsois , Timos K. Sellis , Roland Pieringer , Volker Markl, Frank Ramsak , Robert Fenk , Klaus Elhardt , Rudolf Bayer : Processing Star Queries on Hierarchically-Clustered Fact Tables. VLDB 2002 : 730-741 Roland Pieringer , Volker Markl, Frank Ramsak , Rudolf Bayer : HINTA: A Linearization Algorithm for Physical Clustering of Complex OLAP Hierarchies. DMDW 2001 : 11 Volker Markl, Frank Ramsak , Roland Pieringer , Robert Fenk , Klaus Elhardt , Rudolf Bayer : The Transbase Hypercube RDBMS: Multidimensional Indexing of Relational Tables. ICDE Demo Sessions 2001 : 4-6 Martin Zirkel , Volker Markl, Rudolf Bayer : Exploitation of Pre-sortedness for Sorting in Query Processing: The TempTris-Algorithm for UB-Trees. IDEAS 2001 : 155-166 Frank Ramsak , Volker Markl, Robert Fenk , Rudolf Bayer , Thomas Ruf : Interactive ROLAP on Large Datasets: A Case Study with UB-Trees. IDEAS 2001 : 167-176 Michael Stillger , Guy M. Lohman , Volker Markl, Mokhtar Kandil : LEO - DB2's LEarning Optimizer. VLDB 2001 : 19-28 Volker Markl, Rudolf Bayer : Processing relational OLAP queries with UB-Trees and multidimensional hierarchical clustering. DMDW 2000 : 1 Roland Pieringer , Volker Markl, Rudolf Bayer : Modellierung und Verwaltung hierarchisch strukturierter Informationen in relationalen Datenbanksystemen. Grundlagen von Datenbanken 2000 : 81-85 Robert Fenk , Akihiko Kawakami , Volker Markl, Rudolf Bayer , Shunji Osaki : Bulk Loading a Data Warehouse Built Upon a UB-Tree. IDEAS 2000 : 179-187 Volker Markl, Rudolf Bayer : A Cost Function for Uniformly Partitioned UB-Trees. IDEAS 2000 : 410-416 Frank Ramsak , Volker Markl, Robert Fenk , Martin Zirkel , Klaus Elhardt , Rudolf Bayer : Integrating the UB-Tree into a Database System Kernel. VLDB 2000 : 263-272 Volker Markl: Mistral - Processing Relational Queries using a Multidimensional Access Technique. Datenbank Rundbrief 26 : 24-25 (2000) Volker Markl: MISTRAL: Processing Relational Queries using a Multidimensional Access Technique. Infix Verlag, St. Augustin, Germany 1999 Frank Ramsak , Volker Markl, Rudolf Bayer : Physical Data Modeling for Multidimensional Access Methods. Grundlagen von Datenbanken 1999 : 97-101 Volker Markl, Martin Zirkel , Rudolf Bayer : Processing Operations with Restrictions in RDBMS without External Sorting: The Tetris Algorithm. ICDE 1999 : 562-571 Volker Markl, Frank Ramsak , Rudolf Bayer : Improving OLAP Performance by Multidimensional Hierarchical Clustering. IDEAS 1999 : 165-177 Volker Markl: The Tetris-Algorithm for Sorted Reading from UB-Tree. Grundlagen von Datenbanken 1998 : 89-93 1 [ 24 ] [ 26 ] [ 28 ] [ 29 ] 2 [ 2 ] [ 3 ] [ 4 ] [ 7 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] [ 13 ] [ 14 ] [ 15 ] [ 16 ] [ 17 ] [ 19 ] [ 21 ] [ 22 ] 3 [ 23 ] 4 [ 28 ] 5 [ 24 ] [ 29 ] 6 [ 7 ] [ 15 ] [ 17 ] [ 21 ] [ 22 ] 7 [ 30 ] [ 33 ] [ 35 ] 8 [ 7 ] [ 9 ] [ 13 ] [ 15 ] [ 17 ] [ 19 ] [ 21 ] [ 22 ] 9 [ 24 ] [ 26 ] [ 28 ] [ 29 ] [ 31 ] [ 32 ] [ 34 ] [ 36 ] 10 [ 23 ] [ 24 ] [ 28 ] [ 29 ] 11 [ 35 ] 12 [ 12 ] [ 32 ] 13 [ 17 ] [ 21 ] 14 [ 9 ] 15 [ 31 ] [ 34 ] [ 36 ] 16 [ 32 ] 17 [ 26 ] 18 [ 12 ] [ 18 ] [ 20 ] [ 25 ] [ 26 ] [ 27 ] 19 [ 31 ] [ 36 ] 20 [ 30 ] [ 33 ] 21 [ 9 ] 22 [ 10 ] [ 15 ] [ 16 ] [ 17 ] [ 21 ] [ 22 ] 23 [ 25 ] [ 27 ] 24 [ 26 ] [ 32 ] 25 [ 20 ] [ 25 ] [ 26 ] [ 27 ] [ 32 ] [ 35 ] 26 [ 2 ] [ 4 ] [ 7 ] [ 13 ] [ 15 ] [ 16 ] [ 17 ] [ 21 ] [ 22 ] 27 [ 23 ] 28 [ 13 ] 29 [ 17 ] [ 21 ] 30 [ 25 ] [ 27 ] 31 [ 31 ] [ 34 ] 32 [ 12 ] 33 [ 31 ] [ 34 ] [ 36 ] 34 [ 17 ] [ 21 ] 35 [ 23 ] 36 [ 32 ] 37 [ 3 ] [ 7 ] [ 14 ]  ©2006 Association for Computing Machinery |
