MACHINE LEARNING ALGORITHMS FOR HETEROGENEOUS DATA: A COMPARATIVE STUDY

In the present digital era massive amount of data is being continuously generated at exceptional and increasing scales. This data has become an important and indispensable part of every economy, industry, organization, business and individual. Further handling of these large datasets due to the heterogeneity in their formats is one of the major challenge. There is a need for efficient data processing techniques to handle the heterogeneous data and also to meet the computational requirements to process this huge volume of data. The objective of this paper is to review, describe and reflect on heterogeneous data with its complexity in processing, and also the use of machine learning algorithms which plays a major role in data analytics.