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

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發(fā)表于 2025-3-21 19:02:08 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data Warehousing and Knowledge Discovery
副標(biāo)題Second International
編輯Yahiko Kambayashi,Mukesh Mohania,A. Min Tjoa
視頻videohttp://file.papertrans.cn/264/263211/263211.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Data Warehousing and Knowledge Discovery; Second International Yahiko Kambayashi,Mukesh Mohania,A. Min Tjoa Conference proceedings 2000 Spr
描述The Second International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2000) was held in Greenwich, UK 4–6 September. DaWaK 2000 was a forum where researchers from data warehousing and knowledge discovery disciplines could exchange ideas on improving next generation decision support and data mining systems. The conference focused on the logical and physical design of data warehousing and knowledge discovery systems. The scope of the papers covered the most recent and relevant topics in the areas of data warehousing, multidimensional databases, OLAP, knowledge discovery and mining complex databases. These proceedings contain the technical papers selected for presentation at the conference. We received more than 90 papers from over 20 countries and the program committee finally selected 31 long papers and 11 short papers. The conference program included three invited talks, 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
出版日期Conference proceedings 2000
關(guān)鍵詞Data warehouses; LA; OLAP; data engineering; data mining; data warehouse; data warehousing; database; decisi
版次1
doihttps://doi.org/10.1007/3-540-44466-1
isbn_softcover978-3-540-67980-6
isbn_ebook978-3-540-44466-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2000
The information of publication is updating

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發(fā)表于 2025-3-21 20:52:03 | 只看該作者
Applying Vertical Fragmentation Techniques in Logical Design of Multidimensional Databasess 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
板凳
發(fā)表于 2025-3-22 04:15:47 | 只看該作者
Space-Efficient Data Cubes for Dynamic Environmentsn 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
地板
發(fā)表于 2025-3-22 07:58:27 | 只看該作者
On Making Data Warehouses Activecisions must be carried out .. This paper introduces a novel architecture, the ., which applies the idea of event-condition-action rules (ECA rules) from active database systems to automize repetitive analysis and decision tasks in data warehouses. The work of an analyst is mimicked by ., which exte
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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.
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發(fā)表于 2025-3-23 00:48:48 | 只看該作者
BEDAWA - A Tool for Generating Sample Data for Data Warehousesfficulties often arise in producing familiar, complete and consistent sample data of any scale. Producing sample data manually often causes problems, which can be avoided by an automatic generation tool producing consistent and statistical plausible data. The data generated by the tool is based on t
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發(fā)表于 2025-3-23 04:46:13 | 只看該作者
DyDa: Dynamic Data Warehouse Maintenance in a Fully Concurrent Environmenturces (ISs) into one materialized repository. In dynamic environments such as the web, DWs must be maintained in order to stay up-to-date. Recent maintenance algorithms tackle this problem of DW management under concurrent data updates (DU), whereas the EVE system is the first to handle (non-concurr
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