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Titlebook: Database Systems for Advanced Applications; 16th International C Jeffrey Xu Yu,Myoung Ho Kim,Rainer Unland Conference proceedings 2011 Spri

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41#
發(fā)表于 2025-3-28 18:12:36 | 只看該作者
Conference proceedings 2011ed and selected from a total of 225 submissions. The topics covered are social network, social network and privacy, data mining, probability and uncertainty, stream processing, graph, XML, XML and graph, similarity, searching and digital preservation, spatial queries, query processing, as well as indexing and high performance.
42#
發(fā)表于 2025-3-28 22:05:40 | 只看該作者
43#
發(fā)表于 2025-3-29 01:29:48 | 只看該作者
44#
發(fā)表于 2025-3-29 06:12:24 | 只看該作者
Spread a Little Happiness: West End Musicalspic experts. Based on the topic experts identified, we further propose a new approach to identify the related blog communities on that topic. Experiments are conducted and the results demonstrate that our approaches are very effective and efficient.
45#
發(fā)表于 2025-3-29 07:32:09 | 只看該作者
The Electronic Media and British Dramaposed. It focuses on the changes on social network topological feature, but not purely the number of edge modifications. Second, an efficient algorithm is designed to anonymize a given social network with relatively low utility loss. Experimental evaluation shows that our approach effectively generates anonymized social network with high utility.
46#
發(fā)表于 2025-3-29 11:54:23 | 只看該作者
Chi Wai Wu,Kwok Fai Geoffrey Tsors, thus mitigating the issue of high false alarm rate. Extensive empirical studies on real datasets show that our approach efficiently and effectively detects outliers, even in high-dimensional spaces.
47#
發(fā)表于 2025-3-29 17:53:10 | 只看該作者
Guoxiang Yuan,Zhuoming Chen,Domenico Luzzie an efficient algorithm, IncGen, for incremental generator mining. We have conducted thorough experiment evaluation and the experimental results show that the IncGen algorithm outperforms state-of-the-art generator-mining method FEAT significantly.
48#
發(fā)表于 2025-3-29 22:03:35 | 只看該作者
49#
發(fā)表于 2025-3-30 00:29:41 | 只看該作者
50#
發(fā)表于 2025-3-30 06:49:17 | 只看該作者
Database Scalability, Elasticity, and Autonomy in the Cloud cloud: designing scalable database management architectures using the concepts of . and ., enabling lightweight elasticity using low cost live database migration, and designing intelligent and autonomic controllers for system management without human intervention.
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