In recent years, classification of data with imbalanced class distribution is a difficult task in data mining and machine learning. The imbalanced data sets classification is the pattern classification of data with imbalanced class distribution. In many real-world problems, the data sets are imbalanced, that is, some classes have much less instances than others. When
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In view of the fact that many decision tree classification algorithms are unable to deal with continuous attributes and missing values, this paper do some studies on decision tree classification algorithm based on rough set theory. The purpose of study is to build decision tree with higher accuracy rate and to enable decision tree classification
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Employment status of university graduate is the focus of all sectors of society, it is one of the important indicators to measure the education quality of a university, and it is also an important basis and reference for the government to make policy, to evaluate and supervise the employment status. A comprehensive, scientific and systematic
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High-performance fault-tolerant computers are widely used in finance, telecommunications, energy, transportation, aviation and other countries?s key business areas. There are high demands on management capacity and availablity, because the system?s delays and failures may cause immeasurable loss in these key industries. Therefore, its processing capacity and availability must be evaluated, and fault injection technique is
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With information technology and database technology developing at very fast speed, information processing has become a indispensable tool for people to acquire useful message. Data mining is a generic knowledge discovery technology, it is a process of findingmodel and the relationship of the data in a large amount of data by analytical tools. Clustering analytical
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Simulation experiments generate massive simulation data, in order to extract useful information and knowledge, understand and improve the system better, help the deciders make decisions, can use data mining method in simulation data analysis. Because the simulation data has high dimensions and big scale, parallel mining algorithm is needed to improve efficiency. And also these
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High-performance fault-tolerant computers are widely used in finance, telecommunications, energy, transportation, aviation and other countries?s key business areas. There are high demands on management capacity and availablity, because the system?s delays and failures may cause immeasurable loss in these key industries. Therefore, its processing capacity and availability must be evaluated, and fault injection technique is
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In recent years, with the development of computer hardware and network infrastructure, Social network sites becoming the most popular network application. A variety of social networks gradually deeply into our lives and closely related with the users. Hence, thinking of some researchers resulting from the academic issues that brought by SNS. Researching on social network
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With development of modern technologies in data acquisition, processing, forecasting, uncertain sequence data are widespread in the specific application on science, communications, logistics, finance and other fields. This paper firstly focus on the general form of frequent pattern mining in uncertain sequence database; Secondly, in specific local correlated uncertain databases, we studied the problem of
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With the completion of the restructuring and 3G operator licenses issued, Telecommunications market is becoming increasingly fierce competition, Three operators from the traditional single mobile or fixed business operations into a full-service operations, The broadband business as a key business as full service carriers are an important competitive positions. However, with the increasingly competitive broadband
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