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New Techniques of Data Mining

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New techniques of data mining
Social media sites are becoming more and more popular. These sites not only allow the people to be social with their friends but also allow users to share videos, images and other valuable information without any loss of time. These sites have multimedia data in bulk amount therefore it is necessary to mine these sites in a proper way to retrieve only relevant data. Due to the different structure of each media object the structure can’t be used as a criterion for mining For example, in image mining, we have to extract the patterns from a large collection of images. These sites have content and context information which can be used as valuable information for mining these sites. Content information is related to the visual and semantic attributes in case of image retrieval. Visual contents include color, texture, shape and spatial information in the images .These visual features can be described locally or globally. Globally visual features are defined for the complete image whereas locally are defined for various regions of a single image. Semantic content is obtained either by textual annotation or by complex inference procedures based on visual contents.
Context link information is available in form of links between multimedia objects and context objects .These context objects are the objects which are provided by the users directly or indirectly. These context objects are the tagged data with each image as in flickr or that may be title data or caption data. In flickr, each image is tagged with some proper data by the uploader of that particular image or by some user who is authorized by the uploader of that image. Other examples of tags are tagging URLs on delicious, Hash tag on twitter, tagging photos on social media sites like Facebook and Orkut and tagging various news and reviews on different sites.…...

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