This thesis examines the application of consistency learning techniques for the classification of hyperlinked web pages. Different data similarity measures between the web pages are defined, using local features like textual content and features of the linked pages as a graph. The pairwise object similarities are gathered in similarity matrices, each of which can be used together with methods f...

Extracting and processing information from web pages is an important task in many areas like constructing search engines, information retrieval, and data mining from the Web. Common approach in the extraction process is to represent a page as a “bag of words” and then to perform additional processing on such a flat representation. In this paper we propose a new, hierarchical representation that...

Classification of an interesting class of Web pages (e.g., personal homepages, resume pages) has been an interesting problem. Typical machine learning algorithms for this problem require two classes of data for training: positive and negative training examples. However, in application to Web page classification, gathering an unbiased sample of negative examples appears to be difficult. We propo...

This paper presents a novel approach of using machine learning algorithms based on experts’ knowledge to classify web pages into three predefined classes according the degree content adjustment search engine optimization (SEO) recommendations. In this study, classifiers were built and trained an unknown sample (web page) one identify important factors that affect page adjustment. The data in tr...

The Internet makes it possible to share and manipulate a vast quantity of information efficiently and effectively, but the rapid and chaotic growth experienced by the Net has generated a poorly organized environment that hinders the sharing and mining of useful data. The need for meaningful web-page classification techniques is therefore becoming an urgent issue. This paper describes a novel ap...

This paper organises some general observations on Relational Learning which arose from research into classifying Web pages. The motivation for this piece is to contribute towards developing a broad overview of the field, so as to understand which aspects of Relational Learning are common to all domains, and which aspects are peculiar to specific domains. Hence the views presented here are neces...

The dynamic nature of web and with the increase of the number of web pages, it is very difficult to search required web pages easily and quickly out of thousands of web pages retrieved by a search engine. The solution to this problem is to classify the web pages according to their genre. Automatic genre identification of web pages has become an important area in web page classification, because...