Incremental learning algorithm for one-class document classification

doi:10.3778/j.issn.1002-8331.2008.27.050

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (27): 157-158.DOI: 10.3778/j.issn.1002-8331.2008.27.050

• 数据库、信号与信息处理 • Previous Articles Next Articles

Incremental learning algorithm for one-class document classification

DAI Hong¹,ZHU Ming²,LIU Shou-qun²

1.Department of Electronic Engineering and Information Science，University of Science & Technology of China，Hefei 230027，China
2.Department of Automation，University of Science & Technology of China，Hefei 230027，China

Received:2007-11-09 Revised:2008-01-31 Online:2008-09-21 Published:2008-09-21
Contact: DAI Hong

支持增量学习的文本单类别分类算法

戴洪¹,朱明²,刘守群²

1.中国科学技术大学电子信息工程系，合肥 200027
2.中国科学技术大学自动化系，合肥 200027

通讯作者: 戴洪

Abstract

Abstract: In this paper，an incremental learning algorithm for one-class document classification is proposed.It also has the advantage of low computational load with the same level of performance.A prototype system is constructed to implement the algorithms，and the results of the tests are pretty good.

Key words: Naï, ve Bayesian, Support Vector Machine（SVM）, one-class classification, text/Web classification

摘要： 目前的文本单类别分类算法在进行增量学习时需要进行大量的重复计算，提出了一种新的用于文本的单类别分类算法，在不降低分类效果的同时，有效地减少了加入新样本学习时所需的计算量，从而比较适合于需要进行增量学习的情况。该方法已进行了测试实验，获得了较好的实验结果。

关键词: 简单贝叶斯, 支持向量机, 单类别分类, 文本/网页分类

DAI Hong¹,ZHU Ming²,LIU Shou-qun². Incremental learning algorithm for one-class document classification[J]. Computer Engineering and Applications, 2008, 44(27): 157-158.

戴洪¹,朱明²,刘守群². 支持增量学习的文本单类别分类算法[J]. 计算机工程与应用, 2008, 44(27): 157-158.

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Incremental learning algorithm for one-class document classification

支持增量学习的文本单类别分类算法

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