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This article proposes such a question classification approach that integrates multiple semantic features. It is aimed at these two questions in Chinese question classification models: inaccurate semantic information extraction and too slow processing speed caused by too high Eigenvector dimension. With the help of HowNet and the support vector machine and syntactic and semantic information of question...
It is well known that the work condition of pipeline, the leak included, can be identified by a pressure signal analysis. Because of the high frequency data collection and always on-line pipeline leak detection, the pressure signal brings up massive data. A methodology for pipeline leak detection using data mining technology and work condition identification is presented here. Sixteen groups of raw...
to keeping the original idea in TWSVM, still the edges of our method lie in considerably less computing time with respect to TWSVM, which is comparable to that of GEPSVM. Experiments tried out on standard datasets disclose the effectiveness of our method. Keywords: TWSVM; dual QPPs; approximate.
With rapid development of Internet information, It is quite an important project for data mining that how to classify these large amounts of texts. In this paper, we propose an improved text classify cluster algorithm, while calculating similarity, we synthetically consider the relationship between keywords and
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