Issue Date: 9-11 Feb. 2010rnrntOn page(s): rnt32rnttrn- 36rnrnrnLocation: Bangalore, IndiarnrnPrint ISBN: 978-1-4244-6006-9rnrnrnrnttrnDigital Object Identifier: href='http://dx.doi.org/10.1109/ICMLC.2010.61' target='_blank'>10.1109/ICMLC.2010.61 rnrnDate of Current Version: trnrnt2010-05-06 14:33:58.0rnrnt rntt class="body-text">rntname="Abstract">>Abstractrn>The continuing explosive growth of textual content within the World Wide Web has given rise to the need for sophisticated Text Classification (TC) techniques that combine efficiency with high quality of results. E-mail filtering is one application that has the potential to affect every user of the internet. Even though a large body of research has delved into this problem;
机译:使用双层文本分类和聚类技术的SMS垃圾邮件过滤和线程识别
机译:垃圾邮件过滤中各种分类技术的性能分析,比较调查
机译:垃圾邮件过滤中各种分类技术的性能分析,比较调查
机译:电子邮件过滤文本分类技术调查
机译:临床文本分类的内核方法和语义技术
机译:计算N-gram的对称强度:文本文档自动分类中的两遍过滤方法
机译:用于文本分类的阿拉伯语言处理。对阿拉伯语根提取技术,建立阿拉伯语语料库和阿拉伯文本分类技术的贡献。
机译:基于Trigrams和进化最近邻分类器的自然语言文本分类和过滤。软件工程(sEN)。