Expert discovery is a quest in search of finding an answer to a question: “Who is the best expert of a specific subject in a particular domain within peculiar array of parameters?” Expert with domain knowledge in any field is crucial for consulting in industry, academia and scientific community. Aim of this study is to address the issues for expert-finding task in real-world community. Collabor...

In this paper, a new prediction model without extra information is proposed to construct prediction models for a proxy server prefetcting the suitable pages for adapting the website structure and improving the website performance. The trend similarity is proposed to consider both the page similarity and the position similarity of all pages. A testing websites are established in our experimental...

Predicting the next page to be accessed by the Web users has attracted a large amount of research. In this paper, a new web usage mining approach is proposed to predict next page access. It is proposed to identify similar access patterns from web log using K-mean clustering and then Markov model is used for prediction for next page accesses. The tightness of clusters is improved by setting simi...

Clustering means grouping similar objects into groups such that objects within a same group bear similarity to each other while objects in different groups are dissimilar to each other. As an important component of data mining, much research on clustering has been conducted in different disciplines. In the context of web mining, clustering could be used to cluster similar clickstreams to determ...

Web mining is the use of data mining Technique to automatically discover & extract information from web documents. When user searches for goods the management agent receives order from graphical user interface .Management agent receives information, update agent information store house and feedback the mining result to user. Intelligent agent can help making computer system easier to use, enabl...

The present research scholars are having keen interest in doing their research activities in the area of Data mining all over the world. Especially, [13]Mining Image data is the one of the essential features in this present scenario since image data plays vital role in every aspect of the system such as business for marketing, hospital for surgery, engineering for construction, Web for publicat...

The hyperlink prediction task, that of proposing new links between webpages, can be used to improve search engines, expand the visibility of web pages, and increase the connectivity and navigability of the web. Hyperlink prediction is typically performed on webgraphs composed by thousands or millions of vertices, where on average each webpage contains less than fifty links. Algorithms processin...

The popularity of digital images is rapidly increasing due to improving digital imaging technologies and convenient availability facilitated by the Internet. However, how to find user-intended images from the Internet is non-trivial. The main reason is that the web images are usually not annotated using semantic descriptors. In this paper, we present an effective approach to and a prototype sys...