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Aiming at the data set expressed by decision-list, proposed an algorithm of optimum decision rules discovery based on granule computing. It increased the efficiency of decision rules mining by two ways, improving speed of getting frequent item sets with granule computing and deleting invalid candidate sets. Finally the result of calculating test showed the algorithm is validity.
Service applications are applicable to provide services for requests of users from network. Due to the fact that they have to endure a big number of concurrent requests, the performance of service applications running under specific arrival rate of requests should be assessed. To measure the performance of a service application, multi-party testing context is needed to simulate a number of concurrent...
Hyperspectral images analysis play important role in optical spectrum analysis field. The unmixing of the endmembers is very important to hyperspectral images analysis. We propose relationship between endmembers and their mixed pixel in matrix equation. The mathematical model of the endmembers is derived on the basis of convex geometry. Image endmembers can be derived from hyperspectral data set on...
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