Research Article
Machine Learning based Quality Analysis on Inicial Coin Offering (ICO)
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 184 - Issue 28 |
| Published: Sep 2022 |
| Authors: R.A.S.I. Cooray, W.H.C. Wickramaarachchi |
10.5120/ijca2022922360
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R.A.S.I. Cooray, W.H.C. Wickramaarachchi . Machine Learning based Quality Analysis on Inicial Coin Offering (ICO). International Journal of Computer Applications. 184, 28 (Sep 2022), 41-48. DOI=10.5120/ijca2022922360
@article{ 10.5120/ijca2022922360,
author = { R.A.S.I. Cooray,W.H.C. Wickramaarachchi },
title = { Machine Learning based Quality Analysis on Inicial Coin Offering (ICO) },
journal = { International Journal of Computer Applications },
year = { 2022 },
volume = { 184 },
number = { 28 },
pages = { 41-48 },
doi = { 10.5120/ijca2022922360 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2022
%A R.A.S.I. Cooray
%A W.H.C. Wickramaarachchi
%T Machine Learning based Quality Analysis on Inicial Coin Offering (ICO)%T
%J International Journal of Computer Applications
%V 184
%N 28
%P 41-48
%R 10.5120/ijca2022922360
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Today society is a place where people are looking for improvement. Therefore, people are eager to increase their income in simple ways. Crypto currency is an upcoming topic in the world. Therefore, the number of investments on crypto currency are keep increasing. One of the primary ways to earn Crypto is by Initial Coin Offering (ICO). Crypto currency ICO is an easy and modern way to make money. But nowadays, many people are fooled by so many fake ICOs that they are risking their wealth for nothing. This is becoming a major issue and there are so many ongoing researches that are trying to address this problem. The aim of my research is to address this situation in a unique approach. A classifier algorithm will be developed using machine learning techniques and the accuracy of the proposed algorithm will be calculated against some existing approaches. Also, a novel database will be released to the research community as well.
References
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