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AdaBoost is a classic ensemble learning algorithm with good classifier performance. In the past, it mainly used weak classifier as base classifier, such as KNN. They are simple and easy to train, but the essence of the weak classifier, it is impossible to get very high classification accuracy. In order to improve the correct rate, this paper introduces the AdaBoost ensemble classifier based on convolutional...
In this paper a unified address data schema was proposed on the basis of analyzing the addresses frequently used in China. The model describes and stores all types of address elements, such as cities, towns and villages, etc., and their relationships. Based on this schema, the rules and algorithms of the address matching mode were presented. Finally an address database and a prototype system are implemented...
Decision trees are considered as one of the efficient classification techniques in data mining fields. But the standard decision trees are unfit to cope with data pervaded with uncertainty both at the construction and classification phase. Dempster-Shafer theory offers an alternative to traditional probabilistic theory for the mathematical representation of uncertainty. This paper added new aggregation...
Evidence theory decision tree is an efficient classification technique can be used in uncertain data mining field. But it can't deal with large training sets of millions of samples which are common in this field. This paper develops parallel algorithm for evidence theory decision tree on the multidimensional cube structure. Example shows this algorithm can treat with very large multidimensional uncertain...
To meet the personalized needs of Web user, a new method combine decision tree base on WEB log with multidimensional data and evidence theory is proposed. This paper first generalizes the concept hierarchies in uncertain database, and then extends the decision tree technique to an uncertain environment where the uncertain is represented by evidence theory. This evidence theory concept hierarchy decision...
Greening of urban roads linking all of the living, working and leisure places into a larger urban system is one of the important components of urban greening. This study applied fuzzy clustering to the quality classification of urban roads greening. 15 main roads in Xinxiang City of China were categorized according to this method and the features of each category were summarized. The results show...
An efficient method for power quality disturbances (PQD) classification is put forward which combines with cubic B-spline wavelet and C4.5 algorithm in decision tree. At first the mathematic models are established. Then multi-scale decomposition for PQD is carried out using cubic B-spline wavelet. A three dimensional eigenvector is built by selecting the mean, standard deviation and energy entropy...
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