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Internet traffic classification is one of the key foundations for research works and traffic engineering in Internet. With the rapid increase of Internet applications and the number of Internet flow, the technique challenges are coupled with development of traffic classification all the time. Currently, the machine learning-based technique has attracted much attention, since it can address the issues...
Min-Max Modular Support Vector Machine (M3-SVM) is a powerful supervised ensemble pattern classification method, and it can efficiently deal with large scale labeled data. However, it is very expensive, even infeasible, to label the large scale data set. In order to extend the M3-SVM to handle unlabeled data, a Semi-Supervised M3-SVM learning algorithm (SS-M3-SVM) is proposed in this paper. SS-M3-SVM...
Sina Microblog has become one of the most popular social networks in recent years. As a result, many interdisciplinary research directions of traditional social network have been conducted to it. But the link prediction problem in Sina Microblog has not drawn much attention till now. In this paper, we conduct a research of link prediction in Sina Microblog. According to the characteristics of Sina...
This paper introduces an incremental closed frequent item sets mining algorithm, which is based on a shadow prefix tree to get closed frequent item sets. By the use of shadow technology this algorithm can avoid the cost of generating and testing of candidate subsets. Shadow prefix tree can find nodes by virtual node without generating all nodes. The experiment results show that this algorithm can...
With the development of information technology and the increasing amount of data, the way of storing data in single table can not meet the actual needs, it will highlight the importance of the research on multi-relational sequence mining. This paper presents a multi-relational sequence pattern mining algorithm using the variant prefix tree, and the frequent sequence pattern is obtained by connecting...
A novel SVM method is presented, in which loop-symmetrical division is adopted to solve multi-class classification problem. In the proposed method, the classification of multi-class samples are loop-arranged and symmetrical divided, and an error-correcting codes matrix is constructed. With the constructed codes matrix, the class information of testing samples can be found with the decoded function...
Falling is a common health problem for elderly. It is reported that more than one third of adults 65 and older fall each year in the United States. To address the problem, we are currently developing an acoustic fall detection system, FADE, which automatically detects a fall and reports it to the caregiver. In a previous version, FADE used a 3-microphone linear array to eliminate the false alarms...
The extensive application of tree model has made tree mining become a hot field in data mining research. As an important branch of tree mining, tree cluster plays a fundamental analysis role in many areas. In this paper, a tree cluster algorithm was proposed based on least closed tree, which effectively solved problems in large amount of data in practical application. The basic method is bringing...
The structure in the multiple tables is so complex that we should not only improve the efficiency, but also insure the accuracy of classification when we classify the data. Some existing classification algorithms have good results in terms of the efficiency and the accuracy, for example: an efficient multi-relational Bayesian classifier based on the semantic relationship graph. But how to get the...
Text classification refers to determine the class of an unknown text according to its content in the given classification system. In order to extract fewer features to express the information in the text as much as possible, the paper analysis the various features' statistical properties and to extract the global features according to Zipf's law; and then, based on the statistical analysis of the...
Currently, optical device, such as microscopes and CCD cameras, are utilized for identification of tool marks in the field of forensic science which mainly depend on the experience of forensic scientists. A new approach using extended fractal analysis technology to classify tool marks such as striation patterns is presented. it computes four directional multi-scale extended fractal parameters and...
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