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

切碎

On the Importance of Tuning in Incremental View Maintenance: An Experience Case Studyl 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.

協(xié)議

Yahiko Kambayashi,Mukesh Mohania,A. Min TjoaIncludes supplementary material:

結(jié)果

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/263211.jpg

宇宙你

https://doi.org/10.1007/3-540-44466-1Data warehouses; LA; OLAP; data engineering; data mining; data warehouse; data warehousing; database; decisi

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神經(jīng)

婚姻生活

https://doi.org/10.1007/978-3-642-83590-2s consists of materializing redundant aggregates called views. In this paper we investigate the problem of vertical fragmentation of views aimed at minimizing the workload response time. Each view includes several measures which not necessarily are always requested together; thus, the system perform

Impugn

https://doi.org/10.1007/978-3-642-83590-2n data cubes is the range query. For range queries that summarize large regions of massive data cubes, computing the query result on-the-fly can result in non-interactive response times. To speed up range queries, values that summarize regions of the data cube are precomputed and stored. This faster