extinguish 发表于 2025-3-25 06:29:05
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秘传 发表于 2025-3-25 09:11:34
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鼓掌 发表于 2025-3-25 12:58:55
Jeffrey Xu Yu,Myoung Ho Kim,Rainer UnlandFast-track conference proceedings.State-of-the-art research.Up-to-date resultsfreight 发表于 2025-3-25 19:48:08
http://reply.papertrans.cn/27/2635/263424/263424_24.pngaffinity 发表于 2025-3-25 23:40:10
http://reply.papertrans.cn/27/2635/263424/263424_25.pngconscience 发表于 2025-3-26 03:21:33
http://reply.papertrans.cn/27/2635/263424/263424_26.pngcraving 发表于 2025-3-26 07:14:25
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建筑师 发表于 2025-3-26 11:46:52
http://reply.papertrans.cn/27/2635/263424/263424_28.pngInertia 发表于 2025-3-26 16:41:12
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.Fsh238 发表于 2025-3-26 17:44:31
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