Exploring Big Data Analysis Pipeline and Comparative Summarization of Mining Tools |
Author(s): |
Ms. Deepali Bajaj , Shaheed Rajguru College of Applied Sciences for women, University of Delhi; Ms. Asha Yadav, Shaheed Rajguru College of Applied Sciences for women, University of Delhi |
Keywords: |
Rapid-I Rapidminer, KDNuggets, Processing Pipeline Phases |
Abstract |
From past some years Big data has become a big hype and buzz word in IT industry. It is a major concern of research for data driven industries where massive data needs to be processed and analysed to acquire in-depth knowledge of useful information. It has a huge potential for unlocking the emerging trends, projecting the upcoming growth techniques, increasing productivity, and competitiveness for entire sectors and economies. In this paper, we have reviewed the elements of big data and discussed the phases of processing pipeline of Data Analysis. Further the paper elaborates the most popular and specialized Big Data mining tools as per the survey conducted by KDNuggets in 2015 on analytics and data mining community and vendors. This paper also elucidates the contrasts between two top-ranking tools R and Rapid-I Rapidminer. |
Other Details |
Paper ID: NCILP032 Published in: Conference 1 : NCIL 2015 Publication Date: 16/10/2015 Page(s): 124-127 |
Article Preview |
Download Article |
|