A Superior Advance for Explore Results Using Web Mining

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Provided by: International Journal of Emerging Technology and Advanced Engineering (IJETAE)
Topic: Big Data
Format: PDF
An increasing number of databases have become web accessible through HTML form-based search interfaces. The data units returned from the underlying database are usually encoded into the result pages dynamically for human browsing. In this project proposed automatic annotation results for both image and page labels from aligned groups of images and pages. This aim is to improve user satisfaction by returning images that have a higher probability to be accepted by the user. The assumption is that the users search for images by issuing queries, each query being an ordered set of keywords and then improve automatic data alignment problem. Accurate alignment is critical to achieving holistic and accurate annotation.
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