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With the fast development of Internet, web pages created by web spam which aimed at cheating the search engine and increasing rankings in the search results are prevailing. Web spam is a big problem for today's search engine; therefore it is necessary for search engines to be able to detect web spam during crawling. The web spam detection problem is viewed as a classification problem, that means classification...
The data mining technology is more and more widely used in the telecom industry. When we construct Bayesian Belief Network, the branch and bound technique based on the minimum description length principle (B&B technique) is one of the classical algorithm. To telecom data, high dimensionality and huge volume set obstacle when constructing Bayesian Belief Network. But we utilize the inconspicuous...
The data mining technology is more and more widely used in the telecom industry. But telecom data set always includes instances with missing values. Besides, many data mining models are sensitive for the missing value and distortion. Estimating missing values becomes an inherent problem. To address the problem, A prediction method is proposed for the missing value based on the BP neural network and...
The goal of ranking is to learn a real-valued ranking function that induces a ranking or ordering over an instance space. A learning algorithm is stable if the algorithm satisfies the hypothesis that the output of the algorithm varies in a limited way in response to small changes made to the training set. This paper studies the `almost everywhere' stability of ranking algorithms, notions of strong...
Information entropy is an effective description for the uncertainty of a system, and could be used for the symptom to detect the vibration changes of steam turbine. Based on the faulty signals collected from rotor test rig, three information entropy: singular spectrum entropy, power spectrum entropy, wavelet energy spectrum entropy were calculated as information entropy data. Probability neural networks(PNNs)...
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