Convergence of Multimedia With Web Mining

Abstract

A ubiquitous process to evoke the most needed data information from huge amount of unprocessed data to analyze the patterns is called as data mining which is also named as data through knowledge discovery. It helps the enterprises to extract the data information to gain knowledge for better. [I] Data mining usually deals with text for mining. Since we are using internet for the accessibility of data. In other words, we are making use of web to extract the data, modify and process the text using the Web Pages. Evoking the information data which is present on internet is done using data mining is called as Web Mining.[II] It is an integral part of data mining for searching and analyzing the pattern. There are various data resources to obtain the data from web which is categorized into metadata, text documents, web links and web content. A web mining also consist of images, videos and audio information data which are considered as multimedia data. As, many users are more keen towards extracting information in form of images and videos from the web pages , so there's a need of bringing out the required multimedia data information from unused scattered multimedia data present in the web. Here, we need to coalesce mining concepts through web into the multimedia stored data. Such concept is considered as Multimedia Web Mining, [V] It reaps the hidden information of a multimedia file as metadata, represents relationship between multimedia data files ]5 . For better and efficient working performance of mining techniques, multimedia mining also index and classify the various modes of multi data such as animation, moving, still , playback and video modes. Multimedia information is divided into two halves as organized and semi organized. Similarly web mining is categorized into utilization mining, organized mining and substance mining. In this paper, we explore the integration of multimedia with web mining for better enhancement in achieving the classification of data.