A New Approach to Most Advanced Technique for Data Mining ofthe Big Data

Abstract

Big data mining and analysis requires novel and
improved techniques so that mixed types of data
can be processed efficiently and effectively.
Cluster, factor, regression, crowd-sourcing, and
classification analysis are the main methods used
in Big data. In the present research work, Big data
storage, traditional data mining, Big data mining,
Social recommendation, Scalable social
recommendation and social recommendation
improvement using deep learning are analyzed.
The issues such as scalability, sparsity, cold start,
data variety etc. are addressed by proposed
approaches