You’ve built a great web site.It’s well designed,it encourages customer interaction,and it’s filledwith compelling,well-organized content.Now comes the tough reality:Creating a great site doesn’tautomatically mean...You’ve built a great web site.It’s well designed,it encourages customer interaction,and it’s filledwith compelling,well-organized content.Now comes the tough reality:Creating a great site doesn’tautomatically mean customers will visit it.With millions of web sites today,chances are slim that a customerwill randomly happen onto your site.That’s why it’s imperative that you use many strategies to get your web site noticed by the morethan 100 million people who now surf the Web.Here are seven ideas to help get you started:展开更多
The backdoor or information leak of Web servers can be detected by using Web Mining techniques on some abnormal Web log and Web application log data. The security of Web servers can be enhanced and the damage of illeg...The backdoor or information leak of Web servers can be detected by using Web Mining techniques on some abnormal Web log and Web application log data. The security of Web servers can be enhanced and the damage of illegal access can be avoided. Firstly, the system for discovering the patterns of information leakages in CGI scripts from Web log data was proposed. Secondly, those patterns for system administrators to modify their codes and enhance their Web site security were provided. The following aspects were described: one is to combine web application log with web log to extract more information,so web data mining could be used to mine web log for discovering the information that firewall and Information Detection System cannot find. Another approach is to propose an operation module of web site to enhance Web site security. In cluster server session, Density -Based Clustering technique is used to reduce resource cost and obtain better efficiency.展开更多
Web sites are very important and companies can attract customers by promoting various features of the web site. This paper presents an analysis of the relationship between web site functions and firm performance. A re...Web sites are very important and companies can attract customers by promoting various features of the web site. This paper presents an analysis of the relationship between web site functions and firm performance. A research model based on the DeLone and McLean (D&M) model and customer service life cycle (CSLC) theory was used to investigate the impact of web site functions on e-business success. The research model considers web site functions, web site use, customer satisfaction, and firm performance. According to the CSLC theory, there are three stages in a customer service life cycle. Therefore, the web site functions are divided into three stages: requirements, acquisition, and ownership. The functions in each stage serve to encourage usage and thus, enhance customer satisfaction and firm performance. The theoretical model and hypotheses were tested using data collected from 72 wholesale and retail firms in China using the partial least squares (PLS) method. The results suggest that web site functions in the acquisition stage have the strongest impact on web site use and that the improvement of customer satisfaction can significantly increase firm performance.展开更多
随着信息时代的到来,网络安全问题越来越受到人们关注,其中Web安全问题是最常见的安全问题。文章根据风险的发生频率和危害程度,以结构化查询语言(Structured Query Language,SQL)注入、跨站脚本攻击(Cross Site Scripting,XSS)注入、...随着信息时代的到来,网络安全问题越来越受到人们关注,其中Web安全问题是最常见的安全问题。文章根据风险的发生频率和危害程度,以结构化查询语言(Structured Query Language,SQL)注入、跨站脚本攻击(Cross Site Scripting,XSS)注入、文件上传漏洞为例,研究这3种安全风险的原理、分类及安全防护。展开更多
Web 2.0的出现使信息构建(IA)的内容发生了深刻变化,IA已进入"信息构建2.0"(IA2.0)阶段。在IA2.0阶段,IA作为一门学科、一种角色和一类社团的协调统一体而存在,它强调真正"以用户为中心"和"丰富的用户体验&qu...Web 2.0的出现使信息构建(IA)的内容发生了深刻变化,IA已进入"信息构建2.0"(IA2.0)阶段。在IA2.0阶段,IA作为一门学科、一种角色和一类社团的协调统一体而存在,它强调真正"以用户为中心"和"丰富的用户体验"的核心理念,以满足新环境下的用户需求。Web2.0网站的IA,是IA2.0的典型应用,也是IA2.0阶段研究的主要内容,本文将其称为网站IA2.0。文中设计了一个网站IA2.0模型,并进行了简单的实例分析。展开更多
随着Web 所拥有的信息量和信息种类的急剧增长,Web 站点挖掘对于自动实现特定主题的 Web 资源发现和分类具有重要的意义.然而现有的 Web 站点分类或挖掘算法在利用上下文语义信息、去除噪声信息以进一步提高分类准确率等方面还缺乏深入...随着Web 所拥有的信息量和信息种类的急剧增长,Web 站点挖掘对于自动实现特定主题的 Web 资源发现和分类具有重要的意义.然而现有的 Web 站点分类或挖掘算法在利用上下文语义信息、去除噪声信息以进一步提高分类准确率等方面还缺乏深入研究.从站点的采样尺寸、分析粒度和描述结构 3 个方面分析了设计高效的 Web 站点挖掘算法所需要解决的问题.在此基础上,提出了一种新的 Web 站点多粒度树描述模型,并描述了包括基于隐 Markov 树的两阶段分类算法、粒度间上下文融合算法、两阶段去噪程序以及基于熵的动态剪枝策略在内的多粒度 Web 站点挖掘算法.站点的多粒度描述方法及挖掘算法为多站点查询优化、Web 效用挖掘等的深入研究奠定了基础.实验表明,该算法相对于基线系统平均可以提高 16%的分类准确率,并减少了 34.5%的处理时间.展开更多
文摘You’ve built a great web site.It’s well designed,it encourages customer interaction,and it’s filledwith compelling,well-organized content.Now comes the tough reality:Creating a great site doesn’tautomatically mean customers will visit it.With millions of web sites today,chances are slim that a customerwill randomly happen onto your site.That’s why it’s imperative that you use many strategies to get your web site noticed by the morethan 100 million people who now surf the Web.Here are seven ideas to help get you started:
文摘The backdoor or information leak of Web servers can be detected by using Web Mining techniques on some abnormal Web log and Web application log data. The security of Web servers can be enhanced and the damage of illegal access can be avoided. Firstly, the system for discovering the patterns of information leakages in CGI scripts from Web log data was proposed. Secondly, those patterns for system administrators to modify their codes and enhance their Web site security were provided. The following aspects were described: one is to combine web application log with web log to extract more information,so web data mining could be used to mine web log for discovering the information that firewall and Information Detection System cannot find. Another approach is to propose an operation module of web site to enhance Web site security. In cluster server session, Density -Based Clustering technique is used to reduce resource cost and obtain better efficiency.
基金Supported by the National Natural Science Foundation of China (Nos. 70772022, 70472007, 70231010, and 70621061)the MOE Project of Key Research Institute of Humanity and Social Sciences at Universities (No. 06JJD630014)
文摘Web sites are very important and companies can attract customers by promoting various features of the web site. This paper presents an analysis of the relationship between web site functions and firm performance. A research model based on the DeLone and McLean (D&M) model and customer service life cycle (CSLC) theory was used to investigate the impact of web site functions on e-business success. The research model considers web site functions, web site use, customer satisfaction, and firm performance. According to the CSLC theory, there are three stages in a customer service life cycle. Therefore, the web site functions are divided into three stages: requirements, acquisition, and ownership. The functions in each stage serve to encourage usage and thus, enhance customer satisfaction and firm performance. The theoretical model and hypotheses were tested using data collected from 72 wholesale and retail firms in China using the partial least squares (PLS) method. The results suggest that web site functions in the acquisition stage have the strongest impact on web site use and that the improvement of customer satisfaction can significantly increase firm performance.
文摘随着信息时代的到来,网络安全问题越来越受到人们关注,其中Web安全问题是最常见的安全问题。文章根据风险的发生频率和危害程度,以结构化查询语言(Structured Query Language,SQL)注入、跨站脚本攻击(Cross Site Scripting,XSS)注入、文件上传漏洞为例,研究这3种安全风险的原理、分类及安全防护。
文摘随着Web 所拥有的信息量和信息种类的急剧增长,Web 站点挖掘对于自动实现特定主题的 Web 资源发现和分类具有重要的意义.然而现有的 Web 站点分类或挖掘算法在利用上下文语义信息、去除噪声信息以进一步提高分类准确率等方面还缺乏深入研究.从站点的采样尺寸、分析粒度和描述结构 3 个方面分析了设计高效的 Web 站点挖掘算法所需要解决的问题.在此基础上,提出了一种新的 Web 站点多粒度树描述模型,并描述了包括基于隐 Markov 树的两阶段分类算法、粒度间上下文融合算法、两阶段去噪程序以及基于熵的动态剪枝策略在内的多粒度 Web 站点挖掘算法.站点的多粒度描述方法及挖掘算法为多站点查询优化、Web 效用挖掘等的深入研究奠定了基础.实验表明,该算法相对于基线系统平均可以提高 16%的分类准确率,并减少了 34.5%的处理时间.
