Data Analytics and Data monitoring Based on Database Recommendation - A Comparison

Authors

  • Pooja Mudgil  Assistant Professor, Department of Information Technology, BPIT (GGSIPU), Delhi, New Delhi, India
  • Paras Jain  Department of Information Technology, BPIT (GGSIPU), Delhi, India
  • Vikas Singh  Department of Information Technology, BPIT (GGSIPU), Delhi, India

DOI:

https://doi.org/10.32628/CSEIT1952312

Keywords:

Data Analytics, KDD, java, k-means, Apache Hadoop tool.

Abstract

A comparison of various analysis algorithms based for recommendation systems used in the market and businesses has their usage without considering the fact that if used with correct algorithm can increase its efficiency. Comparison is obtained in this paper after studying and researching various obtained algorithms present currently. This paper presents an introduction to the concept of recommendation systems which are recently working on different domain and then comparison is made, that too employed for scalability, reliability, faster process and efficiency.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Pooja Mudgil, Paras Jain, Vikas Singh, " Data Analytics and Data monitoring Based on Database Recommendation - A Comparison" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.1166-1170, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952312