Description: Web access path prediction using knowledge discovered from web logs has become an active research area. Web logs provide updated information about the user’s access record to a web site, which contains useful patterns waiting to be discovered and used for improving the web site. In this study, a new approach to web access pattern prediction is proposed. The methodology is based on the case-based reasoning approach, and the main idea is to discover user access patterns by mining the fuzzy association rules from the historical web log data. In our approach, the time duration of each user session is also considered as one of the attributes of a web access case. A fuzzy index tree is used for fast matching of rules. Furthermore, the system s performance is enhanced using the information contained in the user profile through an adaptation process. Platform: |
Size: 279552 |
Author:asad2001 |
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Description: 序列模式挖掘是数据挖掘的一个重要分支，在序列事务及；有关信息处理中有着广泛的应用，如顾客购物习惯、web访问模式、科学实验过程分析、自然灾害预测、疾病治疗、药物检验以及{ sizej pos；
DNA等。序列模式挖掘算法有AprioriAll、GsP、F’reeSpan、本文将设计与实现针对string数据类型的算法，来对序列模式挖掘有更深入的剖析。-Sequence pattern mining is an important branch of data mining, and in the sequence matters the information processing has a wide range of applications, such as customer shopping habits, web access mode, the process of scientific experiments, natural disaster prediction, disease treatment, drug testing, and { sizej pos DNA and so on. Sequential pattern mining algorithm AprioriAll, GsP, F' reeSpan, this paper design and implementation of algorithms for string data types, to sequence pattern mining on a more in-depth analysis. Platform: |
Size: 288768 |
Author:谢亚妮 |
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