Analysis and Dimension Reduction of Big Data: A Review

Abstract

Nowadays Big data and Dimension Reduction Techniques are very challenging and critical issues in every organization. Big Data is huge size of data that generated through various sources like Social media, Sensors, Surveillance Systems, and Networking etc. In fact we are living in digital era where all daily life work by machines like reading morning news paper in tablet or in mobile, online shopping, digital home surveillance and may more things. This kind of work generates lots of data, called Big Data. To reduce the complexity and unwanted data from large volume of data, use dimension reduction techniques. There are lots of dimension reduction techniques available and work done by different researchers. This paper explores the existing research, challenges, open issues and future research direction for this field of study.