|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
||||||||||||||
Issue: June 2023
Volume 8 | Issue 6
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 8
Issue Published : 85
Article Submitted : 19446
Article Published : 5724
Total Authors : 14911
Total Reviewer : 852
Total Countries : 134
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | TECHNIQUES FOR IMPROVING NETWORK PERFORMANCE USING BIG DATA |
| Authors Name: | Satya Nagendra Prasad Poloju |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_181401
|
| Published Paper Id: | IJNRD1803015 |
| Published In: | Volume 3 Issue 3, March-2018 |
| DOI: | |
| Abstract: | Big Data Mining is the treatment of analyze large details sets to uncover hidden examples, unknown market patterns, correlations, organisation info, customer dispositions and also other handy information. The mining can motivate to more effective showcasing, better client benefit, edges, boosted functional performance, over challenger associations, brand-new revenue openings and different company benefits. This paper gives the partnership between the challenges in intricate engineering optimization as well as the nature of big data And likewise discusses the chances as well as obstacles towards data mining with big data. |
| Keywords: | networks, opportunities and challenges, big data, data mining. |
| Cite Article: | "TECHNIQUES FOR IMPROVING NETWORK PERFORMANCE USING BIG DATA", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.3, Issue 3, page no.64-69, March-2018, Available :http://www.ijnrd.org/papers/IJNRD1803015.pdf |
| Downloads: | 000114578 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID:IJNRD1803015 Registration ID: 181401 Published In: Volume 3 Issue 3, March-2018 DOI (Digital Object Identifier): Page No: 64-69 Country: -, -, - Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD1803015 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD1803015 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2023 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn