We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Survey on Big Data Analytics and its Applications

by S. Sangeetha, S. Kannimuthu, P. D. Mahendhiran
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 153 - Number 12
Year of Publication: 2016
Authors: S. Sangeetha, S. Kannimuthu, P. D. Mahendhiran
10.5120/ijca2016912137

S. Sangeetha, S. Kannimuthu, P. D. Mahendhiran . Survey on Big Data Analytics and its Applications. International Journal of Computer Applications. 153, 12 ( Nov 2016), 9-12. DOI=10.5120/ijca2016912137

@article{ 10.5120/ijca2016912137,
author = { S. Sangeetha, S. Kannimuthu, P. D. Mahendhiran },
title = { Survey on Big Data Analytics and its Applications },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2016 },
volume = { 153 },
number = { 12 },
month = { Nov },
year = { 2016 },
issn = { 0975-8887 },
pages = { 9-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume153/number12/26540-2016912137/ },
doi = { 10.5120/ijca2016912137 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:58:56.574027+05:30
%A S. Sangeetha
%A S. Kannimuthu
%A P. D. Mahendhiran
%T Survey on Big Data Analytics and its Applications
%J International Journal of Computer Applications
%@ 0975-8887
%V 153
%N 12
%P 9-12
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Big data are large set or collection of data which cannot be processed by traditional methods such as data processing. The main problems that big data faces are storing, capturing, transferring, data curing (organization and integration of data that are collected from various resources in order to improve the reusability of the data and preservation of the data for a long period of time), querying etc. Analyzing big data has its significance in the field of social networks, spot business trends, internet, medicine, science, finance, business informatics and even in government. Analyzing data would help in great decision making, which may result in improvement in efficiency, reduction in cost and failure risks. Big data analysis becomes a great thirst for the developing organizations since it becomes difficult for those organizations to process thousands of tera bytes of data. Big data analysis even find its application in understanding the reason for natural or man-made disasters by collecting big data in order to recover from the disaster and to develop the communication since communication is the main challenge that the people face while facing disasters.

References
  1. Liqiang Geng & Howard J. Hamilton, “Interestingness Measures for Data Mining: A Survey”, ACM Computing Surveys, Vol. 38, No. 6, pp. 1-5, 2006
  2. Lee Garber, “Using In-Memory Analytics to Quickly Crunch Big Data”.
  3. Sunil Mithas, University of Maryland,Maria R. Lee, Shih Chien University, Taiwan,Seth Earley, Earley & Associates,San Murugesan, BRITE Professional Services, Australia,Reza Djavanshir, Johns Hopkins University, “leveraging big data and business analytics”,Vol. No. pp
  4. Junbo Wang, Member, IEEE, Yilang Wu, Student Member, IEEE, Neil Yen, Member, IEEE, Song,Guo, Senior Member, IEEE, and Zixue Cheng, Member, IEE: “Big Data Analytics for Emergency Communication Networks: A Survey”.
  5. Omar El-Gayar,Dakota State University, USA, Prem Timsina, Dakota State University, USA, “Opportunities for Business Intelligence and Big Data Analytics In Evidence Based Medicine”.
  6. http://www.cancernetwork.com/practice/content/article/10165/1821731, accessed Aug 30, 2013,
  7. http://searchsqlserver.techtarget.com/definition/data-mining.
  8. https://www.google.co.in/search?q=data+mining&aq=f&oq=data+mining&aqs=chrome.0.57j0l2j5.11931&sourceid=chrome&ie=UTF-8.
  9. Tsan-Ming Choi, Member, IEEE, Hing Kai Chan, Senior Member, IEEE, and Xiaohang Yue, “Recent Development in Big Data Analytics for Business Operations and Risk Management”, Vol.
  10. S. Chaudhuri, U. Dayal, and V. Narasayya, “An overview of business intelligence technology,” Commun. ACM, vol. 54, no. 8, pp. 88–98, 2011.
  11. F. Zhang et al., “Evolutionary scheduling of dynamic multitasking workloads for big-data analytics in elastic cloud,” IEEE Trans. Emerg. Topics Comput., vol. 2, no. 3, pp. 338–351, Sep. 2014.
  12. W. Dou, X. Zhang, J. Liu, and J. Chen, “HireSome-II: Towards privacyaware cross-cloud service composition for big data applications,” IEEE Trans. Parallel Distrib. Syst., vol. 26, no. 2, pp. 455–466, Feb. 2015.
  13. W. Dou, X. Zhang, J. Liu, and J. Chen, “HireSome-II: Towards privacyaware cross-cloud service composition for big data applications,” IEEE Trans. Parallel Distrib. Syst., vol. 26, no. 2, pp. 455–466, Feb. 2015.
  14. Zakia Asad, Student Member, IEEE, and Mohammad Asad Rehman Chaudhry, Member, IEEE “A Two-Way Street: Green Big Data Processingfor a Greener Smart Grid”
  15. Rongxing Lu, Hui Zhu, Ximeng Liu, Joseph K. Liu, and Jun Shao,” Toward Efficient and Privacy-Preserving Computing in Big Data Era”.
  16. YUNCHUAN SUN1, (Member, IEEE), HOUBING SONG2, (Senior Member, IEEE), ANTONIO J. JARA3, (Member, IEEE), AND RONGFANG BIE4, (Member, IEEE), “Internet of Things and Big Data Analytics for Smart and Connected Communities”.
  17. Y. Sun et al., ``Organizing and querying the big sensing data with event- linked network in the Internet of Things,'' Int. J. Distrib. Sensor Netw., vol. 2014, 2014, Art. No. 218521.
  18. Y. Sun and A. J. Jara, ``An extensible and active semantic model of information organizing for the Internet of Things,'' Pers. Ubiquitous Comput., vol. 18, no. 8, pp. 1821_1833, 2014.
  19. Y. Sun, H. Yan, C. Lu, R. Bie, and Z. Zhou, Constructing the Web of events from raw data in theWeb of things,'' Mobile Inf. Syst., vol. 10, no. 1, pp. 105_125, 2014.
  20. Y. Sun, C. Lu, R. Bie, and J. Zhang, ``Semantic relation computing theory and its application,'' J. Netw. Comput. Appl., vol. 59, pp. 219_229, Jan. 2016
Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Big Data Analytics Business Analytics