The imbalanced data sets, which are widely used in the world, mean that the amount of some classes is less than that of other classes in the same sets. If traditional classification algorithms are used to classify the imbalanced data sets, the accuracy of the smaller class is lower than that of the larger class.
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Ontology learning is a research focus in the artificial intelligence field. At present, it has been a great development. Due to the concept learning proposed, the chaos of concepts in the areas system is reduced; the concept of sharing and interoperation in many different fields are realized by concept study; the problem of concept sharing
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This article summarizes the predecessor’s research results and present situation in the field of image mosaic.It has discussed the core problem in the image mosaic algorithm, analyzed disadvantages of some algorithm.Simultaneously,it also summarized the development survey of Granular Computing theory and the its significance to the information subject,and introduced the principle of Granular Computing for
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With the development of information technology, data mining, as a new kind of information processing technology, has becoming to be mature gradually. Data mining is the advanced process of discovering some latent ,interesting and valuable knowledge from large amount of data o Data clustering analysis (DCA) and association rule mining are both the effective methods
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Rough set theory is a valid tool which deals with imprecise, incomplete and inconsistent data. Since 1980′s when professor Pawlak created rough set theory, it has been widely applied in many fields, including data mining, machine learning, pattern recognition and artificial intelligence etc., in which data reduction is one of its most important applications. The
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