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Performance Analysis of Machine Learning Techniques on Big Data Using Apache Spark

  • Garima Mogha
  • Khyati AhlawatEmail author
  • Amit Prakash SinghEmail author
Conference paper
  • 1.2k Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 799)

Abstract

Applying Intelligence to the machines is a need in today’s world and this need leads to the evolution of machine learning. The analysis of data using machine learning algorithms is a trending research area and this analysis lead to some problems when the data comes out to be big data. This paper compares various classification based machine learning algorithms namely, Decision Tree Learning, Naïve Bayes, Random Forest and Support Vector Machines on big data using Apache Spark. The accuracy is evaluated to find out which classification based algorithm gives fast and better result.

Keywords

Big data Apache spark Machine learning Apache hadoop 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.University School of Information Communication and TechnologyGuru Gobind Singh Indraprastha UniversityNew DelhiIndia

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