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 con...

Because of the use of growing information, web mining has become a primary necessity of world. Due to this, research on web mining has received a lot of interest from both industry and academia. Mining and prediction of user’s web browsing behaviors and deducing the actual content in a web document is one of the active subjects. The information on web is dirty. Apart from useful information, it...

estimating similarity is expressed in many domains and sciences. for instance, data mining, web mining, clustering, search engines, ontology mapping and social networks require the definition and deployment of similarity. user similarity in social networks is one of the main problems and has many applications in this area. in this paper, a new method is introduced for combining structural and n...

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 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...

Tremendous growth of the web world incorporates application of data mining techniques to the web logs. Data Mining and World Wide Web encompasses an important and active area of research. Web log mining is analysis of web log files with web pages sequences. Web mining is broadly classified as web content mining, web usage mining and web structure mining. Web usage mining is a techniques to disc...

due to the quick growth of the world wide web, retrieval of useful informationfrom the internet for a particular web user or a group of users becomes verydifficult. recommendation systems using web usage mining help providing anadaptive web environment for the web users. this paper presents a novel approachfor page recommendation using fuzzy association rule mining algorithm. thismethod extract...

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...

Measurement of semantic similarity between Web services is an important factor for Web service discovery, composition, and even execution. Semantic Web services (SWS) are usually specified based on ontologies. The measurement of semantic similarity between Web services thus can be reduced to computing semantic distances between ontologies. In this paper, we briefly surveyed three major existing...

Many queries in web search are ambiguous or multifaceted. Identifying the major senses or facets of queries is very important for web search. In this paper, we represent the major senses or facets of queries as subtopics and refer to indentifying senses or facets of queries as query subtopic mining, where query subtopic are represented as a number of clusters of queries. Then the challenges of ...