In recent years government agencies and industrial enterprises are using the web as the medium of publication. Hence, a large collection of documents, images, text files and other forms of data in structured, semi structured and unstructured forms are available on the web. It has become increasingly difficult to identify relevant pieces of information since the pages are often cluttered with irrelevant content like advertisements, copyright notices, etc surrounding the main content. Thus, we propose a technique that mines the relevant data regions from a web page. This technique is based on three important observations about data regions on the web. Extracting the regularly structured data records from web pages is an important problem. So far, several attempts have been made to deal with the problem. The main disadvantage with the existing automatic approaches is their assumption that the relevant information of a data record is contained in a contiguous segment of HTML code, which is not always true. Thus, we propose a more effective method to mine the data region in a web page. The algorithm, eMine, finds the data regions formed by all types of tags using visual cues.
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