Paper Title

Implementation of Proximity measure approach for binary attributes to select a pair from a group of objects

Authors

Er. Sampada Pongade , Prof. Vanita Tonge

Keywords

Data mining; Proximity measure approach for binary attributes; Distance Measure; objects; attributes

Abstract

The paper is based on research area data mining in computer science. Data mining means knowledge mining from data. From among different approaches in data mining we are going to work on a approach which is “Proximity Measures for Binary Attributes”. The paper is about selecting a single pair from all the possible pairs in the data set consisting of objects of same type and having some attributes. Based on those attributes which will be binary in nature the research component i.e. Distance Measure will be calculated and a single pair will be given as output.

How To Cite

"Implementation of Proximity measure approach for binary attributes to select a pair from a group of objects", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 7, page no.59 - 64, July-2019, Available :https://ijsdr.org/papers/IJSDR1907012.pdf

Issue

Volume 4 Issue 7, July-2019

Pages : 59 - 64

Other Publication Details

Paper Reg. ID: IJSDR_190769

Published Paper Id: IJSDR1907012

Downloads: 000347199

Research Area: Engineering

Country: Chandrapur, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1907012

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1907012

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

Article Preview

academia
publon
sematicscholar
googlescholar
scholar9
maceadmic
Microsoft_Academic_Search_Logo
elsevier
researchgate
ssrn
mendeley
Zenodo
orcid
sitecreex