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Aiming at the demand on spatial information technology from rural statistics, this paper carried out the research and the development of “rural social economic statistics information spatial management and analysis under B/S mode”. By studying MapGuide Open Source, a Web GIS platform is built in order to realize the spatiality and network distribution of social economic statistic data.
This Internet traffic classification using Machine Learning is an emerging research field since 1990's, and now it is widely used in numerous network activities. The classification technique focuses on modeling attributes and features of data flows to accomplish the identification of applications. In the paper we design and implement the classification model based on header-derived flow statistical...
With the rapid development of network, a variety of abnormal flow including the most popular DDoS attacks appear in the network, these abnormal flow greatly limit the Internet providing normal bandwidth services to the normal users. It is difficult to correctly distinguish the legitimate burst flow and the DDoS attacks by using the unilateral flow to analyze and detect the anomaly flow, so we propose...
With tremendous and ever-growing amounts of electronic documents from World Wide Web and digital libraries, it becomes more and more difficult to get information that people really want. In order to predigest search process, people use clustering method to browse through search results. However traditional Chinese information clustering techniques are inadequate since they don't generate clusters...
Because of today's explosive information from Internet, people will contact much new information at any moment. So how to analyze this non-stationary information becomes more and more important. Clustering analysis is a good information analysis method, but many clustering algorithms only fit to stationary situation. Then in this paper, a novel incremental clustering algorithm based on self-organizing-mapping-IGSOM...
Domain-specific term extraction contributes to all domain-oriented natural language processing tasks. Given a small set of domain-specific terms as seed terms, new terms from unlabeled corpora can be extracted by bootstrapping a term classifier to discover the association between seed terms and new terms. Traditional term representation method for domain-specific term extraction represents a term...
The invalidated input is one of the most critical web application security flaws. However, testing the user input validation function is an intellectual and labor intensive task. We are developing a model driven framework to help testers to accomplish this job in visual view with guidance. This paper reports our on-going work. A meta-model of Web application for user input validation testing is defined...
Web applications have become complex and crucial in many fields. In order to assure their quality, a high demand for systematic methodologies of Web application testing is emerging. In this paper, a methodology of model-driven testing (MDT) for Web application is presented. Model is the core of this method. Web application model is built to describe the system under testing. Test case models are generated...
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