Learning Association Rules and Tracking the Changing Concepts on Webpages: An Effective Pornographic Websites Filtering Approach

We applied the decision tree algorithm to learn association rules between webpage’s category (pornographic or normal) and the critical features. Based on these rules, we proposed an efficient method of filtering pornographic webpages with the following major advantages: 1) a weighted window-based technique was proposed to estimate for the condition of concept drift for the keywords found recently in pornographic webpages; 2) checking only contexts of webpages without scanning pictures; 3) an incremental learning mechanism was designed to incrementally update the pornographic keyword database.     

A new fast associative classification algorithm for detecting phishing websites

Associative classification (AC) is a new, effective supervised learning approach that aims to predict unseen instances. AC effectively integrates association rule mining and classification, and produces more accurate results than other traditional data mining classification algorithms. In this paper, we propose a new AC algorithm called the Fast Associative Classification Algorithm (FACA). We investigate our proposed algorithm against four well-known AC algorithms (CBA, CMAR, MCAR, and ECAR) on real-world phishing datasets. The bases of the investigation in our experiments are classification accuracy and the F1 evaluation measures. The results indicate that FACA is very successful with regard to the F1 evaluation measure compared with the other four well-known algorithms (CBA, CMAR, MCAR, and ECAR). The FACA also outperformed the other four AC algorithms with regard to the accuracy evaluation measure.     

Reading to make a decision or to reduce cognitive dissonance? The effect of selecting and reading online reviews from a post-decision context

This research challenges the presumption that reading online reviews solely affect reader attitudes toward a prospective decision. Instead, readers may strategically select and read reviews after a decision. This research advances and tests hypotheses proposing that: (1) post-decision readers select decision-supportive reviews earlier and more frequently; and (2) the reviews they read affect the subsequent cognitive dissonance they experienced. Two studies employed an original post-decision experiment and demonstrated that readers expressed biased review selection. Interestingly, the reviews they read affected and increased their cognitive dissonance. The findings contributed to understanding the complex dynamic of online reviews in a post-decision context.     

Continuous Improvement Methodology Applied to United Kingdom Academic Library Websites Via National Survey Results

This article analyzes the possibilities of applying Continuous Improvement principles to the management and maintenance of academic library websites. Current practice is mapped onto Continuous Improvement principles, with evidence distilled from a United Kingdom national survey of academic library web practitioners. The survey data informs a website organizational framework and operational model. The framework describes the setting within which library websites are managed, while the model focuses on library specific aspects to the management and development of their site.     

Modelling the acceptance of internet sites with domestic-violence information

Both in terms of prevalence and impact, domestic violence is a significant problem in modern society. The current study investigated women's acceptance of internet sites with domestic-violence information as an additional source of support. Perceived ease of use, perceived usefulness, social influence and awareness of sites were predictors of intention to use sites. However, awareness and experience of domestic violence predicted use of sites. We argue that technology acceptance needs to be studied in the context of a detailed analysis of ‘Everyday Life Information Seeking’ to better understand acceptance and as a basis for designing effective support sites.     

网站的维护与安全性管理

当一个网站建设完毕,已经开始进行信息发布。然而,这并不意味着网站工作的结束,而是网站工作的刚刚开始。也就是说,网站建设最重要的并不是建设的过程,而是建成之后投入运行过程的网站维护与安全管理工作。文章探讨了网站维护及自身的安全防御。     

西安高校图书馆网站建设的现状与分析

随着网络化、数字化信息技术的普及与发展，高校图书馆网站的建设也愈发重要。本文以西安地区17所高校图书馆主页为研究对象，调查和分析图书馆网站建设的现状，从馆情与网站的基本功能、数据资源的建设与检索方式、服务与交互功能三个方面进行分析并提出相应的建设策略。     

党政机关网站面临的主要安全问题

党政机关网站是政务公开的重要窗口,代表着党政机关的形象,但其安全问题却日益突出,本文从最常见的安全问题出发,分析了这些问题给党政机关网站带来的危害并提出了相应的解决办法,建议从网站的开发、部署、运维等阶段加强安全控制,保障党政机关网站的安全性。     

产学研合作构建家纺产品全球电子商务与技术支持网络平台

家用纺织品因产品种类繁多、分类清晰以及型号相对固定等特点而适于网上交易.本文以敦煌网、京东网为例探讨了家纺产品网上交易模式,分析了2种平台交易模式的特点、发展状况及其优、劣势,同时展望了产学研合作构建纺产品全球电子商务与技术支持网络平台的发展前景.     

视频分享网站使用过滤技术后避风港原则之适用——基于技术与制度双赢视角的分析

随着网络技术的不断进步,对视频分享网站侵权作品进行过滤的新技术出现。从网络存储服务商的性质和运营模式等角度看,视频分享网站不应拒绝使用这种新技术。从避风港原则设置的立法初衷和价值取向出发,围绕新的网络技术会引发的法律问题,探讨避风港原则在未来新的技术环境下的适用、改进以及未来网络技术发展与法律规则调整良性互动的发展趋势。