• G.L.Kale
• R.R. Rathod
• V.S. Konghe
• Nilesh N. Shingne

Big data achieves a lot of attention from researchers in recent years as a result of it's become in varied application domains. The SVM (Support Vector Machine) and J48 classifiers with base classifiers for rising performance of classification. SVM is higher accuracy and it will turn out powerful leads to vary from wonderful. The planed LIME classifier is giant as a result of it's tailored for handling massive knowledge. during this ensemble classifiers are combined at every tier. Next tier can collect outputs from previous tier, analyses and mix them and send their output to the following tier. Here multitier are used due to several tiers, work is split into every of those tiers in order that speed and accuracy will increase. it's simple to run. It includes totally different ensemble classifiers on many levels, combining strengths of their ways. This classifier is additionally concern for security of huge knowledge. they're generated mechanically as a results of many iterations in applying ensemble Meta classifiers. The ensemble meta classifiers into many tiers at the same time and mix them into one mechanically generated unvaried system in order that several ensemble meta classifiers operate as integral components of alternative ensemble meta classifiers at higher tiers.

Big data , SVM and J48, LIME classifier

"MULTITIER CLASSIFIERS FOR SECURITY OF BIG DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.16-19, May-2019, Available :http://www.jetir.org/papers/JETIRBS06004.pdf

"MULTITIER CLASSIFIERS FOR SECURITY OF BIG DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp16-19, May-2019, Available at : http://www.jetir.org/papers/JETIRBS06004.pdf