In this paper, we present a novel approach to model user request patterns in the World Wide Web. Instead of focusing on the user traffic for web pages, we capture the user interaction at the object level of the web pa...In this paper, we present a novel approach to model user request patterns in the World Wide Web. Instead of focusing on the user traffic for web pages, we capture the user interaction at the object level of the web pages. Our framework model consists of three sub-models: one for user file access, one for web pages, and one for storage servers. Web pages are assumed to consist of different types and sizes of objects, which are characterized using several categories: articles, media, and mosaics. The model is implemented with a discrete event simulation and then used to investigate the performance of our system over a variety of parameters in our model. Our performance measure of choice is mean response time and by varying the composition of web pages through our categories, we find that our framework model is able to capture a wide range of conditions that serve as a basis for generating a variety of user request patterns. In addition, we are able to establish a set of parameters that can be used as base cases. One of the goals of this research is for the framework model to be general enough that the parameters can be varied such that it can serve as input for investigating other distributed applications that require the generation of user request access patterns.展开更多
Because data warehouse is frequently changing, incremental data leads to old knowledge which is mined formerly unavailable. In order to maintain the discovered knowledge and patterns dynamically, this study presents a...Because data warehouse is frequently changing, incremental data leads to old knowledge which is mined formerly unavailable. In order to maintain the discovered knowledge and patterns dynamically, this study presents a novel algorithm updating for global frequent patterns-IPARUC. A rapid clustering method is introduced to divide database into n parts in IPARUC firstly, where the data are similar in the same part. Then, the nodes in the tree are adjusted dynamically in inserting process by ＂pruning and laying back＂ to keep the frequency descending order so that they can be shared to approaching optimization. Finally local frequent itemsets mined from each local dataset are merged into global frequent itemsets. The results of experimental study are very encouraging. It is obvious from experiment that IPARUC is more effective and efficient than other two contrastive methods. Furthermore, there is significant application potential to a prototype of Web log Analyzer in web usage mining that can help us to discover useful knowledge effectively, even help managers making decision.展开更多
在研究多种J2EE Web框架和J2EE核心模式的基础上,提出了一种基于J2EE核心模式的组合Web框架——CWFBP(Composite Web Framework based on core J2EE Patterns)模型.框架采用分层体系架构,集成了开源的J2EE Web框架和持久层框架,并在表...在研究多种J2EE Web框架和J2EE核心模式的基础上,提出了一种基于J2EE核心模式的组合Web框架——CWFBP(Composite Web Framework based on core J2EE Patterns)模型.框架采用分层体系架构,集成了开源的J2EE Web框架和持久层框架,并在表示层和业务层综合应用多种J2EE核心模式,实现了层次之间和业务层内部的松散耦合,提高了系统的可复用性和开放性.研究了N层计算模式、AJAX和正则表达式等在模型中的应用.采用CWFBP进行软件架构,设计实现了三峡——葛洲坝水利枢纽通航调度系统.系统运行实践表明了CWFBP的正确性和有效性.展开更多
文摘In this paper, we present a novel approach to model user request patterns in the World Wide Web. Instead of focusing on the user traffic for web pages, we capture the user interaction at the object level of the web pages. Our framework model consists of three sub-models: one for user file access, one for web pages, and one for storage servers. Web pages are assumed to consist of different types and sizes of objects, which are characterized using several categories: articles, media, and mosaics. The model is implemented with a discrete event simulation and then used to investigate the performance of our system over a variety of parameters in our model. Our performance measure of choice is mean response time and by varying the composition of web pages through our categories, we find that our framework model is able to capture a wide range of conditions that serve as a basis for generating a variety of user request patterns. In addition, we are able to establish a set of parameters that can be used as base cases. One of the goals of this research is for the framework model to be general enough that the parameters can be varied such that it can serve as input for investigating other distributed applications that require the generation of user request access patterns.
基金Supported by the National Natural Science Foundation of China(60472099)Ningbo Natural Science Foundation(2006A610017)
文摘Because data warehouse is frequently changing, incremental data leads to old knowledge which is mined formerly unavailable. In order to maintain the discovered knowledge and patterns dynamically, this study presents a novel algorithm updating for global frequent patterns-IPARUC. A rapid clustering method is introduced to divide database into n parts in IPARUC firstly, where the data are similar in the same part. Then, the nodes in the tree are adjusted dynamically in inserting process by ＂pruning and laying back＂ to keep the frequency descending order so that they can be shared to approaching optimization. Finally local frequent itemsets mined from each local dataset are merged into global frequent itemsets. The results of experimental study are very encouraging. It is obvious from experiment that IPARUC is more effective and efficient than other two contrastive methods. Furthermore, there is significant application potential to a prototype of Web log Analyzer in web usage mining that can help us to discover useful knowledge effectively, even help managers making decision.
基金Acknowledgements： This work is supported by the National Natural Science Foundation of China （No. 60205007）, Natural Science Foundation of Guangdong Province （No.031558, No. 04300462）, Research Foundation of National Science and Technology Plan Project （No.2004BA721A02）, Research Foundation of Science and Technology Plan Project in Guangdong Province （No.2003C50118）, and Research Foundation of Science and Technology Plan Project in Guangzhou City （No.2002Z3-E0017）.
文摘在研究多种J2EE Web框架和J2EE核心模式的基础上,提出了一种基于J2EE核心模式的组合Web框架——CWFBP(Composite Web Framework based on core J2EE Patterns)模型.框架采用分层体系架构,集成了开源的J2EE Web框架和持久层框架,并在表示层和业务层综合应用多种J2EE核心模式,实现了层次之间和业务层内部的松散耦合,提高了系统的可复用性和开放性.研究了N层计算模式、AJAX和正则表达式等在模型中的应用.采用CWFBP进行软件架构,设计实现了三峡——葛洲坝水利枢纽通航调度系统.系统运行实践表明了CWFBP的正确性和有效性.
