[email protected] +91 9840521421 Scholarly Open Access, Peer-reviewed, Refereed Journal e-ISSN 2583-5300 Since 2022
  1. Home
  2. Archives
  3. 2022
  4. Vol. 1 Issue 1
  5. Article
Research Article

Investigation of Novel Algorithm for Compact Computational Time by Using Fuzzy Practice in Data Mining

Open Access Peer Reviewed

Authors

  • KUMAR SANDEEP1

OM Institute of Technology & Management, Haryana, India.

Article Information

DOI
No DOI
Published Online
January-April 2022
Pages
09-12
Article Type
Research Article
Check for updates
No DOI available for cross-reference

Abstract

View PDF

we will chip away at decrease of undesirable informational indexes from huge informational indexes. We apply fluffy rationale, order and information mining strategies to do likewise. The size of information things is exceptionally huge, so lessening its functional time is troublesome. This examination paper attempts to kill those thing which one is not identify for searching any affiliation regulations. We likewise attempt to will consider 60% of thing isn’t significant by utilizing fluffy characterization procedure. keywords: Fuzzy Logic, Data Mining, Classification, Data sets, TRA earlier References: "[1] Mohammed Al-Maolegi ,Bassamarkok “An Improved Apriorialgorithm For Association Rules” International Journal On Natural Language Computing Volume 3 , No-1 , Febuary 2014. [2] N S Nithya And K Duraiswami “Gain Ratio Based Fuzzy Weighted Association Rule Mining Classifier For Medical Diagnostic Interface” Vol 39 Part 1 ,Febuary 2014 , Pp 39-52 . [3] K Sathesh Kumar And M Hemlatha “An Innovative Potential On Rule Optimization Using Fuzzy Artificial Bee Colony” Research Journal Of Applied Science , Engineering And Technology.. Volume 2627-2633 , Issn:2040-7459, E-Issn:2040-7467, April 05 2014. "

APC from ₹1200 + 18% GST

Peer-reviewed open access₹1200 Indian (₹1400 with DOI)$80 USD internationalpaid after acceptance Peer-reviewed open access₹1200 Indian$80 USD international ₹1200 Indian · $80 intl

  • CrossRef DOI
  • ISSN 2583-5300
  • Open Access
  • Peer Reviewed
  • Plagiarism Checked
  • Google Scholar
Submit Paper