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The article tries to apply the hierarchical location theory to traditional Location-allocation model to form a dynamic hierarchical location model. This model considers the rating of bank outlet and the influence of population redistribution caused by land use alteration after the urban extension. The case research of the downtown in Kunming indicates that it has certain advantage in simulating the...
Frequent items detection is one of the valuable techniques in many applications, such as network monitor, network intrusion detection, worm virus detection, and so on. This technique has been well studied on deterministic databases. However, it is a new task on emerging uncertain database. In this paper, a new definition of frequent items detection on uncertain data is defined. Based on it, two efficient...
Internet banking has become one of the most profitable e-commerce applications in the last decades by providing advantages for both customers and the bank. However, there is still a large group of customers refusing to use this service. So it is necessary to explore the reasons that influence customer acceptance of Internet banking service. Based on the TAM, this study integrates trust perception...
This paper develops a multi-objective optimization model for the passenger train stopping scheme on high-speed railway lines. Minimizing the stopping times for all passenger trains, minimizing travel distance of empty trains and minimizing the number of transfer passengers are the three planning objectives of the model. For a given travel demand and specified capacity of stops, the model is solved...
There is an increasing interest in uncertain and probabilistic databases arising in application domains such as sensor networks, information retrieval, mobile object data management, information extraction, and data integration. A range of different approaches have been proposed to find the frequent items in uncertain database. But there is little work on processing such query in distributed, in-network...
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