Classification Of Streaming Big Data Essay - 1140 Words

CLASSIFICATION OF STREAMING BIG DATA Aditya Kshirsagar=1, Chaitrali Kardile=2, Durgarani Vyavhare=3 ,Tushar Kharmate=4 1Student, Computer Engineering Department, S.I.T. Lonavala, India 2Student, Computer Engineering Department, S.I.T. Lonavala, India 3Student, Computer Engineering Department, S.I.T. Lonavala, India 4Student, Computer Engineering Department, S.I.T. Lonavala, India 1kshirsagar.aditya43@gmail.com 2kardilechaitrali224@gmail.com 3durga.vyavhare@gmail.com 4tusharkharmate3@gmail.com Abstract— There is huge communication taking place in social networking site due to that many users came across various issues like cyber bullying and gromming. There are some political issues which tends to riots. Usually a facebook wall is flooded with lots of posts, it’s difficult for the user to view important post. that’s why our aim is to focus on classify those post into various categories. Post can be classify into various categories like: Entertainment post, Political post, Social post, Historical post, Educational post, Abusive post etc. Keywords— K-means, Post Classification, Streaming Big Data, Social Networking, supervised learning. I. INTRODUCTION Facebook is popular social networking website. On facebook there are huge amount of posts are available and it’s become very complicated for the user to view those post. For that purpose it is important to give some structure to this posts for user to have user-friendly environment. Post may includeShow MoreRelatedComputer Science That Has Evolved From Pattern Recognition And Computational Learning Theory1309 Words   |  6 PagesLearning Theory.’ ML is akin to Data Mining in the sense that both approaches look for patterns in the data set and while the former trains the program to better its understanding, the latter focuses on extraction of data for human comprehension. 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