Intelligent agents for extracting Interesting information using mining Algorithm

Abstract

Information extraction from the internet is one of the growing newlineresearch fields due to the uncontrollable fast growth of internet It mainly newlinehelps to process and analyse the large volume of data on the internet Similar newlineto an Information Retrieval IR system an Information extraction system newlineresponds to a user s Information needs Whereas an IR system identifies a newlinesubset of document in a large text database an Information extraction system newlineidentifies a subset of information within the document The maximum number newlineof web pages contains the Information in the form of text Like commercial newlinedatabases social government business and research web pages mainly newlinecontains text as a main content Extracting Information about a specific topic newlinein sequence is an essential thing to get the entire idea about the topic which newlinewe are searching about a topic in internet We will not get the Information newlineabout the topic in sequential order from the internet and we may get confusion newlineabout the order of Information occurrences newlineThis research focuses on extraction of exact text data as important newlineInformation in which analyses and processes the data from different web newlinepages and stimulates it as single and sequential Information This work newlinemainly proposes an approach called mining algorithm and an intelligent agent newlinefor extraction of Information from the internet The intelligent agent is an newlineindependent entity that functions depends on the environment and directs its newlineactivity to achieve the goal newline newline