A bibliometric analysis of articles citing the machine learning algorithm

Abstract

In the face of comparatively recent emergence of the machine learning algorithm, the originating article has already cited by a large number of studies, and hence it appears to have become a popular theoretical and practical choice with in the field of Machine Learning Algorithm. However as yet there have been no attempts to analyses the reason for citing the originating article . Choosing a suitable machine learning algorithm for a system is difficult because of the number of algorithms described in the literature..Such as systemic review of citations may inform researchers and guide appropriate future use of the theory .This paper therefore presents the results of a bibliometric analysis and systematic review of fifty citation of the originating article in an attempt to better understand the reason for citation, and use and adaptation of the theory . This paper presents a structured review of the literature that explore the use of machine learning algorithms in bibliometric analysis and identify new research scope. The object of this study are to define trends in the use or research of machine learning algorithms; Define clear questions in the use or research of machine learning algorithms; and helps new researchers to position new research work in this state appropriately. This paper also classifier and speculate these citation and analyses the limitation of Machine Learning Algorithm use in existing research, Speculate the use of big data technologies, Define types of machine learning algorithms. Overall, the topic summarizes the current state of knowledge of the machine learning algorithm. It creates an understanding of the machine learning algorithm for the reader by discussing the findings presented in recent research papers.