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As the increasing scale of small flow data traffic, mobile networks face the critical signaling storm problem. This paper investigates on the effects of signaling storm to Radio Network Controller (RNC) signaling board in WCDMA networks. Then, this paper calculates the ratio of signaling-load with the data extracted from WCDMA networks management platform, which can evaluate the signaling carrying...
Traditional marketing approach mainly adopts advertising and telemarketing method to attract potential consumers. It will need a lot of manpower and resources, but cannot position the targeted consumers accurately. In this paper, a novel precision automotive marketing model based on telecom big data mining is proposed to predict the potential high-end luxury car buyers. Initially, both logistic regression...
Time series analysis is an important data mining task in areas such as the stock market and petroleum industry. One interesting problem in knowledge discovery is the detection of previously unknown frequent patterns. With the existing types of patterns, some similar subsequences are overlooked or dissimilar ones are matched. In this paper, we define patterns with weak-wildcard gaps to represent subsequences...
The Support Vector Classification (SVC) model was constructed in this study by applying the near infrared (NIR) analysis technology combined with the chemometrics method to classify and distinguish 11 types of vegetable oil, including "restaurant waste oil". Partial least squares-discriminate analysis (PLS-DA) and GA-SVC classification models were constructed, respectively, after the data...
Data mining is used in this paper to retain high value customers for a telecommunication carrier in China. First the customers are segmented by data mining, and then different strategies are proposed to retain the high value customers. Finally, further applications of data mining for customer relationship management in telecom are discussed.
A parallel algorithm, namely Parallel Block Odd-Even Reduction (PBOER) algorithm, is proposed to solve block tridiagonal linear systems on multi-computers. PBOER algorithm is the combination of PDD and OER method, and is thus highly accurate and scalable. The PBOER is highly parallel and provides approximate solutions that equals to the exact solutions within machine accuracy. The method proposed...
As the complexity of processors grows, the bottleneck of verification remains in generating suitable test programs that meet coverage metrics automatically. Coverage directed test generation is a technique to automate the feedback from coverage analysis to test generation. It is very important to solve the constraint satisfaction problem for a flexible coverage directed test generator with complex...
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