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Association rules have been used in data mining applications to capture relationships present among attributes in large data sets. It can be adapted to capture frequently occurring local structures in images. The frequency of occurrence of these structures can be used to characterize texture. In order to mine the frequency patterns of texture, each image can be considered as one transaction. If image...
Composite service selection is a research difficulties in service-oriented computing domain. Most selection approaches are based on service QoS information which is difficult to acquire accurately. In this paper, a distributed Web service usage pattern mining infrastructure based on services execution information is proposed. In order to meet the cross-organizational associated business requirement,...
The problem of network intrusion detection is an active research issue. Based on the techniques of sequence data mining, we propose a completely new approach based on intrinsic subsequence to detect intrusions in the network connection data. An intrinsic subsequence means that all items in it are always present together as a whole in the sequence. The total number of an intrinsic subsequence appeared...
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