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- W3156086853 abstract "Social networks play vital role in human communication and to improve the business applications. The Facebook is one of the most popular social networking application. However, the Facebook generates huge amount of data in the form of text, advertisements, posts, images, and videos. By analyzing Facebook data, we can find the location where our business promising in the real world. While sharing personal data, users demand security. Trust becoming an essential parameter in social networking. In this paper, a new technique is presented to identify duplicate logo images and profile pictures to prevent the fraud in business by keeping secret information in the profile picture or logo without distraction along with theoretical description of Facebook." @default.
- W3156086853 created "2021-04-26" @default.
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- W3156086853 date "2021-01-01" @default.
- W3156086853 modified "2023-09-25" @default.
- W3156086853 title "Extraction and Analysis of Facebook Public Data and Images" @default.
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- W3156086853 doi "https://doi.org/10.1007/978-981-33-6977-1_16" @default.
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