RESEARCH ON WEB DATA USAGE AND EXTRACTION ASPECTS

As tremendous amount of data are involved in Internet and it is found to be tedious to discover data, ample data mining or machine learning techniques are indulged. All these kinds of techniques are based on intelligent computing approaches, which are based on database, data mining, machine learning, information retrieval, etc.. The growth of web-based data management focuses on the developments of Web applications as services, search engines, as end users, are still facing the problem of overwhelming information and leads to user support. The web users have to deal with the difficulties of finding the relevant information in a maze of data on the web. For example, if a user wants to search the desired information by utilizing a search engine such as Google Chrome, the search engine shows plenty of information both relevant and irrelevant. So, the user finds it tedious to come to a conclusion. Thus, the emerging trends of Web put an end to these kinds of issues by utilizing different types of extraction options found in the web.