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Distribution of data stream is always changed in the real world. This problem is usually defined as concept drift [1]. The state-of-the-art decision tree classification method CVFDT[2] can solve the concept drift problem well, but the efficiency is debased because of its general method of handling instances in CVFDT without considering the types of concept drift. In this paper, an algorithm called...
The purpose of this research is to propose an algorithm for translating class diagram into relational database. At first, class diagram is converter into Java source code. The algorithm analyses it by using the keywords of ??class??, ??attribute??, and ??relation?? and then generates relational database. It shows that this algorithm could reduce error, cost and time of translation. It is still needed...
Density-based spatial clustering algorithm DBSCAN has a relatively low efficiency since it carries out a large number of useless distance computing; Grid-based spatial clustering algorithm is more efficient, but the clustering result has a low accuracy. Considering the advantage and disadvantages of the two algorithms, this paper proposes a grid and density based fast clustering algorithm GNDBSCAN...
At present Chinese word segmentation roughly consists of two mature methods: dictionary-based method and statistical method. Both methods have their own relative merits. To achieve a better performance, this paper proposes an algorithm using amended dictionary integrating with suffix array to detect OOV words. The essential idea is to accurately and efficiently extract medium and high frequency lexical...
We have investigated a technique for recognising faces invariant of facial expressions. We apply multi-linear tensor algebra, which subsumes linear algebra, to analyse and recognise 3D face surfaces. This potent framework possesses a remarkable ability to deal with the shortcomings of principle component analysis in less constrained situations. A set of vector spaces can be used to represent the variation...
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