Applying relational tri-training (R-tri-training for short) to web page classification is investigated in this paper. R-tri-training, as a new relational semi-supervised learning algorithm, is well suitable for learning in web page classification. The semi-supervised component of R-tritraining allows it to exploit unlabeled web pages to enhance the learning performance effectively. In addition,...

The web is a huge repository of knowledge and numerous hyperlinks. Web also serves a broad diversity of user communities and global information service centers. Every day the knowledge in web page upwards rapidly. Web pages can be used to convey the knowledge to web users. Such voluminous size of the web makes an intricacy of web information retrieval, web content filtering and web structure mi...

due to the quick growth of the world wide web, retrieval of useful informationfrom the internet for a particular web user or a group of users becomes verydifficult. recommendation systems using web usage mining help providing anadaptive web environment for the web users. this paper presents a novel approachfor page recommendation using fuzzy association rule mining algorithm. thismethod extract...

Metrology, the science of measurement, is very important in the development of science and engineering principles if any meaningful progress will be made in these fields. This concept also applies to computer security if decision makers are to rely on judgment based on metrics. Management needs to establish how secured their organizations are, the amount of resources to allocate to various comp...

In this paper, we propose a novel text categorization method using trendtracking technique. The method classies texts by tracking the transition of information in them. Therefore, it can deal especially well with texts whose content transits gradually with the passage of time, such as Internet news articles, newspaper articles, or web pages which are often updated. Experimental results show tha...

Virtual integration systems require a crawler to navigate through web sites automatically, looking for relevant information. This process is online, so whilst the system is looking for the required information, the user is waiting for a response. Therefore, downloading a minimum number of irrelevant pages is mandatory to improve the crawler efficiency. Most crawlers need to download a page to d...

World Wide Web is growing rapidly in recent years. User’s experience on the internet can be improved by minimizing user’s web access latency. This can be done by predicting the next step taken by user towards the accessing of web page in advance, so that the predicted web page can be prefetched and cached. So to improve the quality of web services, it is required to analyze the user web navigat...

This paper utilizes Ant-Miner – the first Ant Colony algorithm for discovering classification rules – in the field of web content mining, and shows that it is more effective than C5.0 in two sets of BBC and Yahoo web pages used in our experiments. It also investigates the benefits and dangers of several linguistics-based text preprocessing techniques to reduce the large numbers of attributes as...

This work explores the modelling of a user’s current activity using a single document and a very small collection of classified documents. A model called WeMAC was developed, which accretes evidence from heterogeneous sources to give a final classification of the user’s activity. The evidence sources considered here are the different attributes of a document. We evaluate the WeMAC model using t...

Automatic classification of web pages is an effective way to deal with the difficulty of retrieving information from the Internet. Although there are many automatic classification algorithms and systems that have been proposed, most of them ignore the conflict between the fixed number of categories and the growing number of web pages going into the system. They also require searching through al...