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Analysis and Application of Data Mining by the Implementation of Big Data

by Raghav Sethi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 128 - Number 2
Year of Publication: 2015
Authors: Raghav Sethi
10.5120/ijca2015906456

Raghav Sethi . Analysis and Application of Data Mining by the Implementation of Big Data. International Journal of Computer Applications. 128, 2 ( October 2015), 45-47. DOI=10.5120/ijca2015906456

@article{ 10.5120/ijca2015906456,
author = { Raghav Sethi },
title = { Analysis and Application of Data Mining by the Implementation of Big Data },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 128 },
number = { 2 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 45-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume128/number2/22848-2015906456/ },
doi = { 10.5120/ijca2015906456 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:20:04.102128+05:30
%A Raghav Sethi
%T Analysis and Application of Data Mining by the Implementation of Big Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 128
%N 2
%P 45-47
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Big Data is a bright expression, which is used to recognize the datasets that are big due to their hefty size and complexity. Big Data is now swiftly on the rise in each and every science, research and engineering domain. Big data can also be included in physical, biological, historical, Geographical and biomedical sciences. Big Data mining is the capability of extracting valuable information from these huge datasets or streams of data, that due to its volume, unpredictability, and velocity was not probable to be done before. The Big Data dare is becoming one of the most exciting opportunities for the next coming years. This study paper includes the full information about the big data, Data mining and Data mining with big data, demanding issues And Its Associated Work.

References
  1. C. Wang, S.S.M. Chow, Q. Wang, K. Ren, and W. Lou, “Privacy- Preserving Public Auditing for Secure Cloud Storage” IEEE Trans. Computers, vol. 62, no. 2, pp. 362-375, Feb. 2013.
  2. X. Wu and S. Zhang, “Synthesizing High-Frequency Rules from Different Data Sources,” IEEE Trans. Knowledge and Data Eng., vol. 15, no. 2, pp. 353-367, Mar./Apr. 2003.
  3. X. Wu, C. Zhang, and S. Zhang, “Database Classification for Multi-Database Mining,” Information Systems, vol. 30, no. 1, pp. 71- 88, 2005
  4. K. Su, H. Huang, X. Wu, and S. Zhang, “A Logical Framework for Identifying Quality Knowledge from Different Data Sources,” Decision Support Systems, vol. 42, no. 3, pp. 1673-1683, 2006.
  5. E.Y. Chang, H. Bai, and K. Zhu, “Parallel Algorithms for Mining Large-Scale Rich-Media Data,” Proc. 17th ACM Int’l Conf. Multimedia, (MM ’09,) pp. 917-918, 2009.
  6. D. Howe et al., “Big Data: The Future of Biocuration,” Nature, vol. 455, pp. 47-50, Sept. 2008.
  7. A. Labrinidis and H. Jagadish, “Challenges and Opportunities with Big Data,” Proc. VLDB Endowment, vol. 5,no. 12, 2032-2033, 2012.
  8. Y. Lindell and B. Pinkas, “Privacy Preserving Data Mining,” J. Cryptology, vol. 15, no. 3, pp. 177-206, 2002.
Index Terms

Computer Science
Information Sciences

Keywords

Big Data Data mining Challenging issues Datasets Data Mining Algorithms

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