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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Demand of energy is more and more as high-speed development of economy in China.Mineral resource, as the basis of development of economy and social in our country, play moreand more important effect in economy development of our country. Mineral resource is aconsumption product, exploitation and utilization of which will be combined with advancedscience and technology,
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In recent years, Data Mining has being paid fairly attention by international artificial intelligence and data base field. With web age’s coming, objects of traditional data mining change, which brings the new challenge to data mining as well as knowledge discovery. And Web mining, introduced from such a background, that is a course of recognizing
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The line loss rate is an important comprehensive technical indicator which is used to assess the quality of power supply enterprise by the country. A reasonable and accurate losses calculation is the foundation of energy computation calculation, statistics, and analysis to guide the loss reduction work in electricity sector. The crucial problem for the power
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As a non-parametric probability model, Gaussian Process has already become an important method of machine learning field. Compared with other modeling methods, GP has the advantage of giving both the prediction and the confidence degree of the prediction, which is also called variance. Based on statistical learning theory, GP can be used for classification and
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Volume rendering is one of the main methods for the visualization of volume dataset and is a hot spot of scientific visualization field. Volume rendering can be applied in many fields, including medical science, geological exploration and meteorology. Huge amounts of data obtained from these fields always need to be preprocessed for the following volume
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Volume rendering is one of the main methods for the visualization of volume dataset and is a hot spot of scientific visualization field. Volume rendering can be applied in many fields, including medical science, geological exploration and meteorology. Huge amounts of data obtained from these fields always need to be preprocessed for the following volume
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With the popularity of Internet and the development of computer technology, the scale of network users becomes larger and larger and the behavior that users access to the network also becomes more and more diversified and complicated. The network is widely used in e-commerce, providing online services and information search. In order to attract more
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In the practice of people’s production and life, forecasting of something is a work which is very rich in practical significance, where the accuracy is its lifeblood. How to improve the forecasting accuracy has been the focus of the study researchers. They usually take the means of improving the fitting accuracy of the prediction model
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Facial expressions contain various information which represent human behaviors. It is an important way to express moods and an effective way to communicate with each other without language. People can judge others’psychological behaviors by recognizing their facial expressions. Peoples’expressions equal7%language performance,38%sound performance and55%facial expressions. Study on recognizing facial expressions becomes a hot spot in fields
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