• Poonam Bonde
• Sachin Barahate

In this project, support vector machine is used for classifying big data. Support vector machine is supervised learning algorithm currently used in machine learning for classifying large data sets. The original SVM algorithm was invented by Vladimir Vapnik and the current standard incarnation was proposed by Corinna Cortes and Vapnik in 1993 and published in 1995.] I will modify the linear SVM classifier to incremental, proximal approach which will be capable of retiring old data and adding new data. By combining incremental SVM with hadoop map reduce, big data can be classified.

Vector Machine, Supervised Learning, Big Data, Hadoop, Map Reduce, Classification.

"Classification of Big data Using Support Vector Machine", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 3, page no.96-100, March-2017, Available :http://www.jetir.org/papers/JETIR1703021.pdf

"Classification of Big data Using Support Vector Machine", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 3, page no. pp96-100, March-2017, Available at : http://www.jetir.org/papers/JETIR1703021.pdf