Web usage mining is a type of web mining, which exploits data mining techniques to extract required information from navigational behaviour of WWW users. Hence the data must be preprocessed to improve the efficiency and ease of the mining process. So it is important to pre-process before applying data mining techniques to discover user access patterns from web logs. The main task of data pre-pr...

A significant part of the web mining problem is simply in understanding the value of any mining method. For example, the value of web mining to improve user navigation is even more challenging if one can’t visualize the differences over a large collection of web pages or a significant structure within the existing web. We present WebKIV, a tool we’ve developed to help us visualize our own resul...

Web mining is one of the mining technologies, which applies data mining techniques in large amounts of Web data to improve the Web services. Web traversal pattern mining discovers most of the users’ access patterns from Web logs. This information can provide the navigation suggestions for Web users such that appropriate actions can be adopted. However, the Web data will grow rapidly in the shor...

The main objective of this paper is to evolve an Intelligent Model which can help organizations to restructure their website so that website structure can be refined and it becomes more efficient and user friendly. In order to reach the main goal web mining process, web mining algorithm are applied. These can help to suggest the possible changes in the design of the wesite so that a common user...

Text Mining is an important step of Knowledge Discovery process. It is used to extract hidden information from not-structured or semi-structured data. This aspect is fundamental because most of the Web information is semistructured due to the nested structure of HTML code, is linked and is redundant. Web Text Mining helps whole knowledge mining process in mining, extraction and integration of u...

Data with temporal information is constantly generated, sampled, gathered, and analyzed in different domains, such as medicine, finance, engineering, environmental sciences, and earth sciences. Temporal Web mining extends temporal data mining and Web mining, and concerns the Web mining of data with significant temporal information. Its main goal is to query local and Web data in real time, anal...

The World Wide Web (WWW) is becoming one of the most preferred and widespread mediums of learning. Unfortunately, most of the current Web-based learning systems are still delivering the same educational resources in the same way to learners with different profiles. Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand a...

The World Wide Web is an immense source of data that can come either from the Web content, represented by the billions of pages publicly available, or from the Web usage, represented by the log information daily collected by all the servers around the world. Web Mining [1] is that area of Data Mining which deals with the extraction of interesting knowledge from the World Wide Web. More precisel...

Information on the web is increasing every minute. Redundancy in information is growing rapidly. Data mining is the technique used to extract this data as per the user’s query. Technically data mining analyzing and summarizing it into useful information. Keyword search is an important tool for exploring and searching large data corpuses whose structure is either unknown, or constantly changing....

Web mining is the application of data mining techniques to extract knowledge from web data, including web documents, hyperlinks between documents, usage logs of web sites, etc. A panel organized at ICTAI 1997 (Srivastava and Mobasher 1997) asked the question " Is there anything distinct about web mining (compared to data mining in general)? " While no definitive conclusions were reached then, t...