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

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Performance Comparison of Statistical Techniques with Big Data Analysis

by Stuti Mehla, Saurabh Upadhyay
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 169 - Number 6
Year of Publication: 2017
Authors: Stuti Mehla, Saurabh Upadhyay
10.5120/ijca2017914770

Stuti Mehla, Saurabh Upadhyay . Performance Comparison of Statistical Techniques with Big Data Analysis. International Journal of Computer Applications. 169, 6 ( Jul 2017), 25-28. DOI=10.5120/ijca2017914770

@article{ 10.5120/ijca2017914770,
author = { Stuti Mehla, Saurabh Upadhyay },
title = { Performance Comparison of Statistical Techniques with Big Data Analysis },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2017 },
volume = { 169 },
number = { 6 },
month = { Jul },
year = { 2017 },
issn = { 0975-8887 },
pages = { 25-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume169/number6/27990-2017914770/ },
doi = { 10.5120/ijca2017914770 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:16:40.799656+05:30
%A Stuti Mehla
%A Saurabh Upadhyay
%T Performance Comparison of Statistical Techniques with Big Data Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 169
%N 6
%P 25-28
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In present scenario computers are involved in every field of daily life, leads to increment in volume ,variety and velocity of data. It makes difficult for Conventional Statistical techniques to handle these huge datasets and results in emergence of Big Data and different tools such as Hadoop, Hive for analyzing it. This paper describes the generic statistical techniques such as classification, regression and tools for analyzing Big Data. Analytical Comparison of these tools on different aspects are also explained.

References
  1. ScaDiPaSi: An Effective Scalable and Distributable MapReduce - Based Method to Find Patient Similarity on Huge Healthcare Networks. Mohammad hossein Barkhordari1, , Mahdi Niamanesh1, Copyright © 2015 Elsevier Inc.
  2. Promises and Challenges of Big Data Computing in Health Sciences Tao Huangb, 1, ,Liang Lanc, 1, , Xuexian Fanga, , Peng Ana, d, , Junxia Mind, , Fudi Wanga, , ,  Copyright © 2015 Elsevier Inc.
  3. Significance and Challenges of Big Data Research Xiaolong Jina, , , Benjamin W. Waha, b, Xueqi Chenga, Yuanzhuo Wanga Copyright © 2015 Elsevier Inc.
  4. Demystifying Big Data Analytics for Business Intelligence Through the Lens of Marketing Mix Shaokun Fana, , , Raymond Y.K. Laub, , J. Leon Zhaob,  Copyright © 2015 Elsevier Inc.
  5. The rise of “big data” on cloud computing: Review and open research issues Ibrahim Abaker Targio Hashema, , , Ibrar Yaqooba, , Nor Badrul Anuara, , Salimah Mokhtara, , Abdullah Gania, , Samee UllahKhanb, Copyright © 2014 Elsevier Ltd.
  6. Big data analytics in healthcare: promise and potential Wullianallur Raghupathi and Viju Raghupathi Raghupathi and Raghupathi Health Information Science and Systems 2014, 2:3 http://www.hissjournal.com/content/2/1/3
  7. Mining Big Data: Current Status, and Forecast to the Future Wei Fan, Albert Bifet SIGKDD Exploration Volume 14,Issue 2
  8. CRITICAL QUESTIONS FOR BIG DATA danahboyd & Kate Crawford Information, Communication & Society Vol. 15, No. 5, June 2012, pp. 662–679 ISSN 1369-118X print/ISSN 1468-4462 online # 2012 Microsoft.
  9. Big data: The next frontier for innovation, competition, and productivity McKinsey Global Institute June 2011
  10. The Parable of Google Flu: Traps in Big Data Analysis BIG DATA David Lazer, 1, 2 Ryan Kennedy, 1, 3, 4 Gary King, 3 Alessandro Vespignani 3,5,6
  11. Operational Vs Analytical Big Data https://www.mongodb.com/scale/operational-vs-analytical-big-data
  12. Analytical Master Data Management https://blogs.oracle.com/mdm/entry/operational_vs_analytical_master_data_management
  13. Hadoop Tutorial http://www.tutorialspoint.com/hadoop/
  14. Hadoop Tutorial http://www.tutorialspoint.com/hadoop/ ord.
  15. What is difference between Hadoop, Hive, and AWS RedShift? https://www.quora.com/What-is-difference-between-Hadoop-Hive-and-AWS-RedShift
Index Terms

Computer Science
Information Sciences

Keywords

Big Data IOT Hadoop HDFS MapReduce analytics Hive.

Powered by PhDFocusTM