INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Implementation of Proximity measure approach for binary attributes to select a pair from a group of objects
Authors Name:
Er. Sampada Pongade
, Prof. Vanita Tonge
Unique Id:
IJSDR1907012
Published In:
Volume 4 Issue 7, July-2019
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.
Keywords:
Data mining; Proximity measure approach for binary attributes; Distance Measure; objects; attributes
Cite Article:
"Implementation of Proximity measure approach for binary attributes to select a pair from a group of objects", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 7, page no.59 - 64, July-2019, Available :http://www.ijsdr.org/papers/IJSDR1907012.pdf
Downloads:
000337070
Publication Details:
Published Paper ID: IJSDR1907012
Registration ID:190769
Published In: Volume 4 Issue 7, July-2019
DOI (Digital Object Identifier):
Page No: 59 - 64
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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