A generalised regression algorithm for Web page categorisation
A generalised regression algorithm for Web page categorisation
复制标题
网页分类的广义回归算法
DOI：
10.1007/s00521-004-0409-0
复制
发表时间：
2004
影响因子：
6
通讯作者：
D. Vergados
中科院分区：
文献类型：
--
作者：
I. Anagnostopoulos;C. Anagnostopoulos;G. Kouzas;D. Vergados
本文提出了一种信息系统，分类的Web页面，根据分类法，这主要是从七个搜索引擎/目录使用。建议的分类器是一个四层广义回归神经网络（GRNN），其目的是执行的信息分割，根据信息过滤技术，使用内容描述符向量。八个类别的网页，以评估该方法的鲁棒性，而没有施加任何限制，除了内容的语言，这是英语。该系统可用作分类目的的辅助和咨询工具，也可用于估计任何给定时间点的网页数量。
This paper proposes an information system that classifies Web pages according a taxonomy, which is mainly used from seven search engines/directories. The proposed classifier is a four-layer generalised regression neural network (GRNN) that aims to perform the information segmentation according to information filtering techniques using content descriptor vectors. Eight categories of Web pages were used in order to evaluate the robustness of the method, while no restrictions were imposed except for the language of the content, which is English. The system can be used as an assistant and consultative tool for classification purposes as well as for estimating the population of Web pages at any given point in time.