摘要
在Web挖掘研究中,传统硬聚类技术常被用来分析网站浏览者对网页的浏览偏好。然而该方法只能将每一用户浏览路径归类到单一群组中,即事先假设每一浏览路径只包含单一种用户偏好,却忽略了同一用户浏览路径可能包含多个网页偏好。针对这种情况,提出用模糊聚类技术取代传统的硬聚类技术以弥补不足,使聚类结果更符合实际浏览情况。
Lately, most studies have relied on traditional hard-clustering techniques to analyze web user profile data for their prefer in web mining. However, this approach can only sort each user session into a single cluster. That is, it ignores a user session may contain several browsing prefers, According to this insufficiency, fuzzy clustering techniques are proposed instead.
出处
《计算机工程与设计》
CSCD
北大核心
2007年第6期1484-1485,F0003,共3页
Computer Engineering and Design
