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Naive Bayes Classifiers have been known with the advantages of high efficiency and good classification accuracy and they have been widely used in many domains. However, the classifiers need complete data. And the phenomenon of missing data widely exists in practice. Facing this instance, learning naive Bayes classifier and classification method with missing data are built in this paper. Compared with...
A fingerprint classification method using the fingerprint orientation information and Support Vector Machine (SVM) was proposed. Firstly, the reference point of fingerprint image was acquired, and fingerprint pattern area was located. Then the orientation features were extracted by using Gabor filter. Finally multiclass classifiers were constructed based on SVM and a new three stage classification...
Tree similarity measurement is key to tree-like data mining. In order to maximally capture common information between trees, we consider the problem of computing all common embedded subtrees, and advocate using the number/count of all common embedded subtrees as a measure of similarity. This problem is not trivial due to the inherent complexity of trees and the ensued large search space. The problem...
It is necessary to eliminate cluttered information in Web pages, such as navigation bars, related readings, copyright notices, since they can cause additional burden to search engines. In this paper, a Web page is treated as a sequence of content cells, where each cell owns its score according to our Mountain Model. Primary content cells are distinguished from those cluttered content cells by the...
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