CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Big Data Analytics using Digital 2.0 Transformation

Published on December 2015 by Abha Chaudhary, Paulomi Nath, Nidhi Wakchoure, Nilkamal Gotarne, Bhagyashree Dhakulkar
journal_cover_thumbnail

National Conference on Advances in Computing
Foundation of Computer Science USA
NCAC2015 - Number 5
December 2015
Authors: Abha Chaudhary, Paulomi Nath, Nidhi Wakchoure, Nilkamal Gotarne, Bhagyashree Dhakulkar
ec26c2b5-a253-4dd7-8035-60931bf8565e

Abha Chaudhary, Paulomi Nath, Nidhi Wakchoure, Nilkamal Gotarne, Bhagyashree Dhakulkar . Big Data Analytics using Digital 2.0 Transformation. National Conference on Advances in Computing. NCAC2015, 5 (December 2015), 5-8.

@article{
author = { Abha Chaudhary, Paulomi Nath, Nidhi Wakchoure, Nilkamal Gotarne, Bhagyashree Dhakulkar },
title = { Big Data Analytics using Digital 2.0 Transformation },
journal = { National Conference on Advances in Computing },
issue_date = { December 2015 },
volume = { NCAC2015 },
number = { 5 },
month = { December },
year = { 2015 },
issn = 0975-8887,
pages = { 5-8 },
numpages = 4,
url = { /proceedings/ncac2015/number5/23385-5051/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Computing
%A Abha Chaudhary
%A Paulomi Nath
%A Nidhi Wakchoure
%A Nilkamal Gotarne
%A Bhagyashree Dhakulkar
%T Big Data Analytics using Digital 2.0 Transformation
%J National Conference on Advances in Computing
%@ 0975-8887
%V NCAC2015
%N 5
%P 5-8
%D 2015
%I International Journal of Computer Applications
Abstract

The tools and technology used in organizations and enterprises to improve analytics method has been described. Various developing organizations, enterprises and companies yield tremendous amount data everyday. Companies require to understand costumer's necessities from the information available to it. This paper explains the tools and technologies which can help in analyzing the data by finding hidden patterns behind it.

References
  1. Qiufen Xia, Weifa Liang and ZichuanXu,"Data Locality-Aware Query Evaluation for Big Data Analytics in Distributed Clouds", 2014 Second International Conference on Advanced Cloud and Big Data.
  2. AnkurBalar, Nikita Malviya, Swadesh Prasad, AjinkyaGangurde, Forecasting consumer behavior with innovative value proposition for organizations using Big Data Analytics,2013 IEEE International Conference on Computational Intelligence and Computing Research
  3. ParthChandarana M. Vijayalakshmi , "Big Data Analytics Frameworks", 2014 International Conference on Circuits, Systems, Communication and Information Technology Applications (CSCITA)
  4. M. Riedel , A. S. Memonand M. S. Memon,"High Productivity Data Processing Analytics Methods with Applications", MIPRO 2014, 26-30 May 2014, Opatija, Croatia
  5. Nicolas Bredeche, Zhongzhi Shi, Senior Member, IEEE, and Jean-Daniel Zucker, "Perceptual Learning and Abstraction in Machine Learning: An Application to Autonomous Robotics", IEEE march 2006
  6. Li Cunhe, Wu Chenggang, "A New Semi-Supervised Support Vector Machine Learning Algorithm Based on Active Learning", 2010 2nd International Conference on Future Computer and Communication
  7. Xiaofeng Liao, Liping Ding ? ,Yongji Wang ?†, "Secure Machine Learning, A Brief Overview", IEEE Computer Society 2011.
  8. Andréa Matsunaga and José Fortes, "On the use of machine learning to predict the time and resources consumed by applications", 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
  9. Peter Augustine, Leveraging Big Data Analytics and Hadoop in Developing India's Healthcare Services,International Journal of Computer Applications (0975 – 8887) Volume 89 – No 16, March 2014
  10. Rajeshwari. D, "State of the Art of Big Data Analytics: A Survey", International Journal of Computer Applications (0975 – 8887) Volume 120 – No. 22, June 2015.
Index Terms

Computer Science
Information Sciences

Keywords

Big Data Analytics Microsoft Power Bi Machine Learning Dashboard Predictive Analysis