Titlebook: Data Warehousing and Knowledge Discovery; Second International Yahiko Kambayashi,Mukesh Mohania,A. Min Tjoa Conference proceedings 2000 Spr

厭食癥

Elimination of Redundant Views in Multidimensional Aggregates in computation time and storage space can be achieved when redundant aggregates are eliminated. Savings have also been shown to increase as dimensionality increases. Finally, the implications of this work affect the indexing and maintenance of views and the user interface.

自由職業(yè)者

石墨

Description of CIM System Elements framework separates the concerns for concurrent DU and concurrent SC handling without imposing any restrictions on the autonomy nor on the concurrent execution of the ISs. This DyDa solution is currently being implemented within the EVE data warehousing system.

lattice

https://doi.org/10.1007/978-1-4757-3458-4 European Statistical System, and to invite the scientific community to participate actively in upcoming calls for proposals and calls for tender financed under the IST programme to solve the urgent needs for timely and high-quality statistics.

思考才皺眉

Compatriot

Conference proceedings 2000 namely, “A Foolish Consistency: Technical Challenges in Consistency Management” by Professor Anthony Finkelstein, University College London, UK; “European Plan for Research in Data Warehousing and Knowledge Discovery” by Dr. Harald Sonnberger (Head of Unit A4, Eurostat, European Commission); and “S

喚醒

Computer Integrated ManufacturingIn this paper we propose adaptive data warehouse maintenance, based on the optimistic partial replication of base local computation at the view as well as communication with the outside sources, and lowers the execution load on the base sources, which leads to a more up-to-date state of the data warehouse view.

富足女人

calamity

Data Warehousing and Knowledge Discovery978-3-540-44466-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

絆住

Daniel M. Kumpel,Francisco Serradillal maintenance is feasible over a wide range of update sizes (.), that intuitive SQL formulations perform poorly, but that there are better alternatives. We show that these results can be meaningfully evaluated and presented only in the context of reasonable instance tuning.