教師資料查詢 | 類別: 期刊論文 | 教師: 黃蕙華 HUANG HUI-HUA (瀏覽個人網頁)

標題:Chinese text classification by the Naïve Bayes Classifier and the associative classifier with multiple confidence threshold values
學年99
學期1
出版(發表)日期2010/08/01
作品名稱Chinese text classification by the Naïve Bayes Classifier and the associative classifier with multiple confidence threshold values
作品名稱(其他語言)
著者Lu, Shing-Hwa; Chiang, Ding-An; Keh, Huan-Chao; Huang, Hui-Hua
單位淡江大學資訊工程學系
出版者Amsterdam: Elsevier BV
著錄名稱、卷期、頁數Knowledge-Based Systems 23(6), pp. 598–604
摘要Each type of classifier has its own advantages as well as certain shortcomings. In this paper, we take the advantages of the associative classifier and the Naïve Bayes Classifier to make up the shortcomings of each other, thus improving the accuracy of text classification. We will classify the training cases with the Naïve Bayes Classifier and set different confidence threshold values for different class association rules (CARs) to different classes by the obtained classification accuracy rate of the Naïve Bayes Classifier to the classes. Since the accuracy rates of all selected CARs of the class are higher than that obtained by the Naïve Bayes Classifier, we could further optimize the classification result through these selected CARs. Moreover, for those unclassified cases, we will classify them with the Naïve Bayes Classifier. The experimental results show that combining the advantages of these two different classifiers better classification result can be obtained than with a single classifier.
關鍵字Association classification; Text classification; Text mining; Text categorization
語言英文
ISSN0950-7051
期刊性質國外
收錄於SCI;EI
產學合作
通訊作者Huang, Hui-Hua
審稿制度
國別荷蘭
公開徵稿
出版型式紙本
相關連結
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