UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2107808


Registration ID:
313946

Page Number

g607-g614

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Title

DIABETES PREDICTION USING MULTIPLE CLASSIFICATION ALGORITHMS

Abstract

The effectiveness of a particular algorithm may be influenced by a number of different factors. However, the influence of a particular factor like quality can be considered to identify the effectiveness of an algorithm for a given data source. The project provides a comparative analysis of two clustering algorithms namely K-Means, and MST applied to diabetes dataset. Besides rapidly generating the clusters, the analysis also provides a basis for determining the quality of the clusters generated and helps in identifying the algorithm that generates good quality clusters. As Data Characterization is a summarization of the general characteristics or features of a target class of data, the characteristics of diabetes data are also analyzed taking into account positively tested records as target class of data using the approach of Attribute Oriented Induction.

Key Words

Characterization, Summarization, Records, K-Means, Minimum Spanning Tree

Cite This Article

"DIABETES PREDICTION USING MULTIPLE CLASSIFICATION ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.g607-g614, July-2021, Available :http://www.jetir.org/papers/JETIR2107808.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"DIABETES PREDICTION USING MULTIPLE CLASSIFICATION ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppg607-g614, July-2021, Available at : http://www.jetir.org/papers/JETIR2107808.pdf

Publication Details

Published Paper ID: JETIR2107808
Registration ID: 313946
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: g607-g614
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162


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