Dynamic filtering of malicious records using machine learning integrated databases

0Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

Abstract

Machine Learning, Deep Learning and Predictive Analytics are the key domains of research in assorted domains of implementations including engineering, finance, economics, real time imaging and many others. The researchers are working on different tools and technologies including open source and own developed frameworks so that the higher degree of accuracy can be achieved. The research reports from Market Research News US predicted that the global market size of machine learning based implementations will exceed 20 billion dollars in year 2024. Most of the government and social services are nowadays in process to be deployed with the advanced technologies of machine learning and deep learning so that the minimum error factor can be there. The key players in the industry include; Google, Facebook, IBM Watson, Baidu, Apple, Microsoft, Wipro, Amazon, Intel, Nuance and many others which are working on the advanced algorithms and implementation perspectives of machine learning.

Cite

CITATION STYLE

APA

Ali, A. A., AL-Mhanawi, A. R., & Kadhim, A. K. (2019). Dynamic filtering of malicious records using machine learning integrated databases. Periodicals of Engineering and Natural Sciences, 7(4), 1667–1674. https://doi.org/10.21533/pen.v7i4.898

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free