An insight into tree based machine learning techniques for big data analytics using Apache Spark
Ananthi Sheshasaayee, J.V.N. Lakshmi · 2017
Data Analysis, Classification and Regression on Big Data using machine learning algorithms in a novel approach used in various science and medical streams. Map Reduce is widely used frame work to parallelize machine learning algorithms. These algorithms are tuned to attain best outcomes. This techniques uses lots of time for processing map reduce model multiple times by tuning the parameters as per the requirement. To achieve the shortest time consumption for tuning the jobs, Apache Spark based model is proposed for optimizing the assignments. This model is to predict the temperature from existing data by training using tree based machine learning techniques. This model replaces the map reduce by spark for implementing the best prediction result. The prediction outcomes computed are compared on tree structured ML methods with respect to time and space utilization.