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Sequential minimal optimization (SMO) algorithm is widely used for solving the optimization problem during the training process of support vector machine (SVM). However, the SMO algorithm is quite time-consuming when handling very large training sets and thus limits the performance of SVM. In this paper, a parallel implementation of SMO algorithm is designed with OpenMP, basing on the running time...
Intelligent Data Analysis (IDA) is one of the most important approaches in the field of data mining, which attracts great concerns from the researchers. Based on the basic principles of IDA and the features of datasets that IDA handles, the development of IDA is briefly summarized from three aspects, i.e., algorithm principle, the scale and type of the dataset. Moreover, the challenges facing the...
In energy efficient analysis, user behavior detection related to the dynamic demands of energy is a critical aspect to support the intelligent control schema of Building Management System. In this paper, anomalous occupancy of user behavior tends to be figured out from multiple time-series of occupancy record. The problems in this issue include the time-stamp detection and time-span identification...
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