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Outlier mining is an important branch of data mining and has attracted much attention recently. The density-based method LOF is widely used in application. However, the complexity of the method is quadratic to size of the dataset, and it is very sensitive to its parameters MinPts. In this paper, we propose a new outlier detection method based on Voronoi diagram, called Voronoi based Outlier Detection...
How to make most use of existing information systems and set up low cost, open and flexible integration system have already become the key factor to constructing scientific and technical resources database system. Service oriented architecture (SOA) provides a solution to improve the reusability, scalability and efficiency in software development. This paper uses the SOA principle, through the research...
With increasing of the present number of motor vehicle, parking is becoming worse. Parking guidance turns into a general attentive problem. The existing urban parking guidance stayed at the prediction of parking space, which can not forwardly provide a reasonable guidance to the demand of urban parking. There are two limitations of this method: no parking space affording to drivers after their arriving...
This paper puts forward an outlying reduction method based on the power graph. The outlying reduction problem is due to the search of power graph. This paper utilizes the pruning strategy on the basis of the power graph expansion, which greatly reduces the storage and computation and improves the algorithm performance. This method can explain and analyze outliers in a smallest outlying subspace which...
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