Domain Based Prefetching in Web Usage Mining
نویسندگان
چکیده
منابع مشابه
Web Personalization based on Usage Mining
Personalized or recommender systems are a particular type of information filtering applications. User profiles, representing the information needs and preferences of users, can be inferred from log or clickthrough data, or the ratings that users provide on information items, through their interactions with a system. Such user profiles have been used, for example in iGoogle, to provide personali...
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Web Usage Mining (WUM) is the process of taking out interesting behavior patterns that allow analyzing uses by the website administrator. In this paper we discuss the impact of developing the WUM process according to the requirements specific to the access of University website. WUM becomes a important aspect in today’s era because the quantity of data is continuously increasing, the data resul...
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In recent years, e-businesses have been profiting from recent advances on the analysis of web customer behaviour. For decades experts have debated on ways of presenting the content or structure in a web site in order to captivate the attention of the web user in the web intelligence community. A solution to this could help boost sales in an e-commerce site. Web Usage Mining (WUM) is the extract...
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We present a tool that alleviates the tedious work of data pre-processing and data structuring to support scientific research on web usage mining (WUM). Furthermore, the framework contains web usage mining models as well as methods for basic statistics on the structured data. The contribution of the tool is a tree-like visualization of frequent navigational sequences. This visualization allows ...
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Web now becomes the backbone of the information. Today the major concerns are not the availability of information but rather obtaining the right information. Mining the web aims at discovering the hidden and useful knowledge from web hyperlinks, contents or usage logs. This paper focuses on improving the prediction of the next visited web pages and recommends them to the current anonymous user ...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2014
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2014.050610