• Mohammed Ejaz
• Dr.K.Kranthi Kumar
• Vempati.Sujith
• B.Akshith

With the expansion in Web use, Instagram is presently viewed as a vital stage for publicizing promoting and social communication. It is utilized by a great many clients in any case, a few clients will quite often abuse the stage by making bogus personalities. As of late however Web is a shelter, online informal communities are helpless to dangers by digital hoodlums and spammers. In addition, the ubiquity of virtual entertainment not entirely set in stone by adherents and consequently clients resort to various wrong means to advance expanded profile supporters. Scientists has offered a great deal of plausible answers for virtual entertainment applications. In this paper, the programmed identification of phony profiles has been proposed to distinguish counterfeit Instagram profiles with the goal that the public activity of Instagram clients is secure. The expectation of phony Instagram profiles is worked with utilizing directed learning machine calculations. Upon order, counterfeit profile IDs are put away in an information word reference to additional assist the concerned specialists with making vital moves against fake web-based entertainment profiles. Trial and error has been finished to contrast the order calculations utilized with train the data set.

K-Means, Decision Tree, Machine Learning.

"AN IMPROVED DECISION TREE AND K-MEANS TECHNIQUES USED TO DETECT FAKE ACCOUNTS IN INSTAGRAM SOCIAL NETWORKS.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.o725-o730, May-2023, Available :http://www.jetir.org/papers/JETIR2305F93.pdf

"AN IMPROVED DECISION TREE AND K-MEANS TECHNIQUES USED TO DETECT FAKE ACCOUNTS IN INSTAGRAM SOCIAL NETWORKS.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppo725-o730, May-2023, Available at : http://www.jetir.org/papers/JETIR2305F93.pdf