Analysis Through Machine Learning Techniques: A Survey

被引:0
|
作者
Reddy, Raghavendra [1 ]
Shyam, Gopal K. [1 ]
机构
[1] REVA Univ, Sch C & IT, Bangalore, Karnataka, India
关键词
Unsupervised Machine Learning Techniques; Data Analysis; Marketing Application; SENTIMENT ANALYSIS; REVIEWS;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Analysis and search for meaningful associations in customer purchase data are considered as best applications of data mining techniques. Machine learning is the fundamental nature of imitation of intelligence. The machine learns from the past information to improve the performance of intelligent programs. We consider unsupervised machine learning techniques to analyze various sort of the data. Techniques used are clustering, feature extraction and classification. Machine learning is mainly employed to exhibit accurate estimate. The major objective of this paper is to present the outline of machine learning and discuss unsupervised machine-learning techniques for various applications. Further, this paper reviews the different machine learning techniques.
引用
收藏
页码:542 / 546
页数:5
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