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Titlebook: Business Intelligence for the Real-Time Enterprises; First International Christoph Bussler,Malu Castellanos,Sham Navathe Conference procee

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樓主: affront
21#
發(fā)表于 2025-3-25 05:04:36 | 只看該作者
22#
發(fā)表于 2025-3-25 08:47:42 | 只看該作者
23#
發(fā)表于 2025-3-25 12:14:43 | 只看該作者
978-3-540-73949-4Springer-Verlag Berlin Heidelberg 2007
24#
發(fā)表于 2025-3-25 16:26:24 | 只看該作者
25#
發(fā)表于 2025-3-25 23:48:35 | 只看該作者
Business Intelligence for the Real-Time Enterprises978-3-540-73950-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
26#
發(fā)表于 2025-3-26 03:39:51 | 只看該作者
What Can Hierarchies Do for Data Streams?,sed and aimed for low-level analysis of base data; therefore, there has been little work on supporting OLAP-like queries that provide real-time multi-dimensional and summarized views of stream data. In this paper, we introduce a multi-dimensional stream query language and its formal semantics. Our a
27#
發(fā)表于 2025-3-26 08:19:12 | 只看該作者
Leveraging Distributed Publish/Subscribe Systems for Scalable Stream Query Processing,r of users. However, the lack of query expressiveness limits their application scope. On the other hand, distributed stream processing engines (DSPE) provide efficient processing services for complex stream queries. Nevertheless, these systems are typically tightly coupled, platform dependent, diffi
28#
發(fā)表于 2025-3-26 08:45:07 | 只看該作者
Transaction Reordering and Grouping for Continuous Data Loading,ore important. However, in the presence of materialized join views, loading data concurrently into multiple base relations of the same materialized join view can cause a severe deadlock problem. To solve this problem, we propose reordering the data to be loaded so that at any time, for any materiali
29#
發(fā)表于 2025-3-26 14:20:07 | 只看該作者
30#
發(fā)表于 2025-3-26 18:20:34 | 只看該作者
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