ISSN2320-2882
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Paper Title

DATA CLUSTER ALGORITHMS IN PRODUCT PURCHASE SALE ANALYSIS

Authors

MANJUSHREE NAYAK , DR. BHAVANA NARAIN

Keywords

Cluster;Algorithm;k-mean

Abstract

Big data has brought dramatic change in Online marketing. To analyze online big data there are various tools and methods. Clustering algorithm helps to partition online data and calculate various parameters. Main four algorithms plays an important role for data partition. In our paper we have reviewed four algorithm in second section. In third section we have discussed the methodology used in performance analysis of four clustering algorithm. In fourth section result and analysis of output. And in fifth section conclusion of the work we have done.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJCRT — journal style
"DATA CLUSTER ALGORITHMS IN PRODUCT PURCHASE SALE ANALYSIS", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.6, Issue 1, page no.792-797, February 2018, Available :https://ijcrt.org/papers/IJCRT1801533.pdf
APA — 7th edition
NAYAK, M., & NARAIN, B. (2018). DATA CLUSTER ALGORITHMS IN PRODUCT PURCHASE SALE ANALYSIS. International Journal of Creative Research Thoughts, 6(1), 792-797. https://ijcrt.org/viewpaperforall.php?paper=IJCRT1801533
MLA — 9th edition
NAYAK, MANJUSHREE, and BHAVANA NARAIN. "DATA CLUSTER ALGORITHMS IN PRODUCT PURCHASE SALE ANALYSIS." International Journal of Creative Research Thoughts, vol. 6, no. 1, 2018, pp. 792-797, https://ijcrt.org/viewpaperforall.php?paper=IJCRT1801533.
Chicago — 17th, bibliography
NAYAK, MANJUSHREE, and BHAVANA NARAIN. "DATA CLUSTER ALGORITHMS IN PRODUCT PURCHASE SALE ANALYSIS." International Journal of Creative Research Thoughts 6, no. 1 (2018): 792-797. https://ijcrt.org/viewpaperforall.php?paper=IJCRT1801533.
Harvard — author–date
NAYAK, M. and NARAIN, B. (2018) 'DATA CLUSTER ALGORITHMS IN PRODUCT PURCHASE SALE ANALYSIS', International Journal of Creative Research Thoughts, 6(1), pp. 792-797. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT1801533
IEEE — numbered reference
M. NAYAK and B. NARAIN, "DATA CLUSTER ALGORITHMS IN PRODUCT PURCHASE SALE ANALYSIS," IJCRT, vol. 6, no. 1, pp. 792-797, Feb. 2018.
Vancouver — biomedical
NAYAK M, NARAIN B. DATA CLUSTER ALGORITHMS IN PRODUCT PURCHASE SALE ANALYSIS. IJCRT. 2018 Feb;6(1):792-797.
AMA — 11th edition
NAYAK M, NARAIN B. DATA CLUSTER ALGORITHMS IN PRODUCT PURCHASE SALE ANALYSIS. IJCRT. 2018;6(1):792-797. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT1801533
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT1801533, author = {MANJUSHREE NAYAK and BHAVANA NARAIN}, title = {DATA CLUSTER ALGORITHMS IN PRODUCT PURCHASE SALE ANALYSIS}, journal = {International Journal of Creative Research Thoughts}, volume = {6}, number = {1}, pages = {792-797}, year = {2018}, month = {February}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT1801533} }
RIS — EndNote, RefWorks
TY - JOUR AU - NAYAK, MANJUSHREE AU - NARAIN, BHAVANA TI - DATA CLUSTER ALGORITHMS IN PRODUCT PURCHASE SALE ANALYSIS T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 6 IS - 1 PY - 2018 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT1801533 SP - 792 EP - 797 ER -

Issue

Volume 6 Issue 1, February-2018
Pages : 792-797

Article Information

Pages
792-797
Published
February 2018
Registration ID
IJCRT_182076
Published Paper ID
IJCRT1801533
Research Area
Science & Technology
Author Type
Indian Author
Location
Raipur, Chhattisgarh, 492010
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
1,328

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About Publisher

International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
9.17 Impact Factor
2013 ESTD Year
Open Access
Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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Licence

© 2018 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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