Nowadays, the Web has become one of the most pervasive platforms for information change and retrieval. It collects the suitable and perfectly fitting information from websites that one requires. Data mining is the form of extracting data’s available in the internet. Web mining is one of the elements of data mining Technique, which relates to various research communities such as information reco...

Semantic similarity measurement of multilingual words is a challenging problem in data mining, information extraction, information retrieval, etc. This paper introduces an algorithm to measure the semantic similarity of Chinese-English bilingual words based on Chinese WordNet, an expansion of WordNet in Simplified Chinese. The algorithm not only measures the semantic similarity for Chinese and ...

The Transactions in web data often consist of quantitative data, suggesting that fuzzy set theory can be used to represent such data. The time spent by users on each web page is one type of web data, was regarded as a trapezoidal membership function (TMF) and can be used to evaluate user browsing behavior. The quality of mining fuzzy association rules depends on membership functions and since t...

In Multiple Instance Learning (MIL) problem for sequence data, the learning data consist of a set of bags where each bag contains a set of instances/sequences. In many real world applications such as bioinformatics, web mining, and text mining, comparing a random couple of sequences makes no sense. In fact, each instance of each bag may have structural and/or temporal relation with other instan...

With the rapid growth of the Web, users get easily lost in the rich hyper structure on the web. Providing relevant information to the users to supply to their needs is the primary goal of the owners of these websites. Web mining is one of the techniques that could help the websites owner in this direction. Web mining was categorized into three categories such as web content mining, web usage mi...

The number of online documents has rapidly grown, and with the expansion Web, document analysis, or text become an essential task for preparing, storing, visualizing mining documents. texts generated daily on social media platforms such as Twitter, Instagram Facebook are vast unstructured. Most these come in form short need special analysis because suffers from lack information sparsity. Thus, ...

Web search queries are usually vague, ambiguous, or tend to have multiple intents. Users have different search intents while issuing the same query. Understanding the intents through mining subtopics underlying a query has gained much interest in recent years. Query suggestions provided by search engines hold some intents of the original query, however, suggested queries are often noisy and con...

The Quest for knowledge has led to new discoveries and inventions. With the emergence of World Wide Web, it became a hub for all these discoveries and inventions. Web browsers became a tool to make the information available at our finger tips. As years passed World Wide Web became overloaded with information and it became hard to retrieve data according to the need. Web mining came as a rescue ...

Web is a collection of inter-related files on one or more web servers while web mining means extracting valuable information from web databases. Web mining is one of the data mining domains where data mining techniques are used for extracting information from the web servers. The web data includes web pages, web links, objects on the web and web logs. Web mining is used to understand the custom...