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- W2786098997 abstract "The present world gives much significance to the images rather than text data. Since the image data is more flexible and understandable than text data it is mostly preferred for the data analysis and storage. The major issues caused in the images are getting erased and duplication. For the erased images, there are many solutions to retrieve the deleted images or erased images. Image mining technique plays a vital role in today's retrieval process. Image mining is the process of extracting the images from the databases. It may also recollect the deleted images. It is easy to gain the image data but it cannot easily change or update the data the existing approaches in image mining process are image retrieval, neural networks, object recognition. Image mining process undergoes on the basis of many algorithms such as classification, clustering etc. The main objective is to discuss about the various existing image retrieval process and the challenges faced." @default.
- W2786098997 created "2018-02-23" @default.
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- W2786098997 date "2017-03-01" @default.
- W2786098997 modified "2023-09-26" @default.
- W2786098997 title "Analysis on image mining techniques" @default.
- W2786098997 cites W3100206485 @default.
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- W2786098997 doi "https://doi.org/10.1109/iciiecs.2017.8276027" @default.
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