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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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發(fā)表于 2025-3-25 06:29:05 | 只看該作者
Kazunori Komatani,Shojiro Mori,Satoshi Satoand purchase transactions to find mobile sequential patterns. However, these patterns cannot reflect actual profits of items in transaction databases. In this work, we explore a new problem of mining high utility mobile sequential patterns by integrating mobile data mining with utility mining. To th
22#
發(fā)表于 2025-3-25 09:11:34 | 只看該作者
Virus Transmission Genetic Algorithmallows delegation of administrative privileges for both roles and access rights between roles. We have introduced the notion of trust in delegation and have shown how extended logic programs can be used to express and reason about roles and their delegations with trust degrees, roles’ privileges and
23#
發(fā)表于 2025-3-25 12:58:55 | 只看該作者
Jeffrey Xu Yu,Myoung Ho Kim,Rainer UnlandFast-track conference proceedings.State-of-the-art research.Up-to-date results
24#
發(fā)表于 2025-3-25 19:48:08 | 只看該作者
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發(fā)表于 2025-3-25 23:40:10 | 只看該作者
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27#
發(fā)表于 2025-3-26 07:14:25 | 只看該作者
The Multiplicity of British Theatresider the location, they only consider the physical location of the user which cannot be used for capturing the user’s intention..We propose an effective method to calculate the user similarity using the semantics of the location. By using the semantics of the location, we can capture the user’s int
28#
發(fā)表于 2025-3-26 11:46:52 | 只看該作者
29#
發(fā)表于 2025-3-26 16:41:12 | 只看該作者
https://doi.org/10.1007/978-981-13-0517-7x to accelerate query and to help return the exactly required data tuples. Finally we analyze the security properties and demonstrate the efficiency and query response time of our approach through empirical data.
30#
發(fā)表于 2025-3-26 17:44:31 | 只看該作者
Mohammad Anisseh,Mohammad Reza Shahrakiinds of activities. In order to extract semantic regions, we propose a sequential clustering approach to discover clusters as the semantic regions from individual trajectory according to the spatial-temporal density. Based on semantic region discovery, we develop a shared nearest neighbor (SNN) base
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