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Juan Pérez, Rafael Llavori, M. Cabo, T. Pedersen (2005)
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RLH: bitmap compression technique based on run-length and huffman encodingInf. Syst., 34
(2005)
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Mining unexpected multidimensional rules
Ladjel Bellatreche, A. Giacometti, Patrick Marcel, H. Mouloudi, D. Laurent (2005)
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Maik Thiele, Ulrike Fischer, Wolfgang Lehner (2007)
Partition-based workload scheduling in living data warehouse environmentsInf. Syst., 34
M. Jones, I. Song (2005)
Dimensional modeling: identifying, classifying & applying patterns
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Eilverijus Kondratas, Igor Timko (2007)
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SAMSTAR: a semi-automated lexical method for generating star schemas from an entity-relationship diagram
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Parallel querying of ROLAP cubes in the presence of hierarchies
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Goal-oriented requirement analysis for data warehouse design
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Optimizing the incremental maintenance of multiple join views
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Research in data warehousing and OLAP has produced important technologies for the design, management and use of information systems for decision support. Much of the interest and success in this area can be attributed to the need for software and tools to improve data management and analysis given the large amounts of information that are being accumulated in corporate as well as scientific databases. However, in spite of the maturity of these technologies, new data needs or applications currently run at companies not only demand more capacity, but also new methods, models, techniques or architectures to satisfy these new needs.
ACM SIGMOD Record – Association for Computing Machinery
Published: Dec 1, 2006
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