Knowledge Discovery from Web Usage Data: Research and Development of Web Access Pattern Tree Based Sequential Pattern Mining Techniques: A Survey

被引：0
|
作者：
Shivaprasad, G. [1 ]
Subbareddy, N. V. [1 ]
Acharya, U. Dinesh [1 ]
机构：
[1] Manipal Univ, Manipal Inst Technol, Dept Comp Sci & Engn, Manipal, Karnataka, India
来源：
INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN SCIENCE AND TECHNOLOGY (ICM2ST-10) | 2010年 / 1324卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Sequential pattern mining is the process of applying data mining techniques to a sequential database, to extract frequent subsequences to discover correlation that exists among the ordered list of events. Web Usage mining (WUM) discovers and extracts interesting knowledge/patterns from Web logs is one of the applications of Sequential Pattern Mining. In this paper, we present a survey of the sequential pattern mining techniques based Web Access Pattern (WAP) tree on Web logs.
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页码：319 / 323
页数：5
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