Industrial-Scale R&D IT Projects depend on many sub-technologies which need to be understood and have their risks analysed before the project can begin for their success. When planning such an industrial-scale project, the list of technologies and the associations of these technologies with each other is often complex and form a network. Discovery of this network of technologies is time consumi...

Web mining is used to automatically discover and extract information from Web-related data sources such as documents, log, services, and user profiles. Although standard data mining methods may be applied for mining on the Web, many specific algorithms need to be developed and applied for various purposes of Web based information processing in multiple Web resources, effectively and efficiently...

This paper aims to provide a practical methodology for using web mining to gather strategic business intelligence. It first describes some concepts relating to web mining and reports some exploratory findings on how web mining for strategic intelligence is actually used in South African organizations. The paper then suggests some practical steps for organizations wishing to establish their own ...

With huge amount of information available online, the World Wide Web is fertile area of data mining research. The web mining research is crossroad of several forms of several research communities such as data base IR within AI, especially the subarea of Machine language and Natural Language processing. However there is lot of confusion with comparing research efforts from different point of vie...

Nowadays the Web poses itself as the largest data repository ever available in the history of humankind (Reis et al., 2004). However, the availability of huge amount of Web data does not imply that users can get whatever they want more easily. On the contrary, the massive amount of data on the Web has overwhelmed their abilities to find the desired information. It has been claimed that 99% of t...

Web mining is a one class of data mining. Web Mining is a variation of data mining that distills untapped source of abundantly available free textual information. The need and importance of web mining is growing along with the massive volumes of data generated in web day-to-day life. Web data Clustering is the organization of a collection of web documents into clusters based on similarity. A go...

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. The process of extracting useful information from the contents of web document is data mining. Content data is the collection of facts a web page is designed to contain. It may consist of text, images, audio, video, or s...

This paper gives an introduction to Web mining, then describes Web Structure mining in detail, and explores the data structure used by the Web. This paper also explores different Page Rank algorithms and compare those algorithms used for Information Retrieval. In Web Mining, the basics of Web mining and the Web mining categories are explained. Different Page Rank based algorithms like PageRank ...