IJSDR
IJSDR
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

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Novel Clustring Approach To Find The Missing Data In Large Datasets
Authors Name: Meghana YM , K.Sureka
Unique Id: IJSDR2009056
Published In: Volume 5 Issue 9, September-2020
Abstract: The data is growing tremendously and handling of data for various business and scientific applications is an on demand need. But, it avoidable to have missing values in any dataset. The reason for the missing values could be varying with different mode of applications and the concern here is that how those missing values are handled. The various imputation methods in practice are studied in detail and experimentation has been done to understand the few statistical models. The results obtained are discussed and the future directions are also included. The future work would be designing a mechanism that encompasses correlation analysis, regression and clustering to achieve better accuracy in terms of values that replaces missing values and clustering accuracy.
Keywords: Missing Values, Correlation, regression, clustering.
Cite Article: "Novel Clustring Approach To Find The Missing Data In Large Datasets ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 9, page no.354 - 358, September-2020, Available :http://www.ijsdr.org/papers/IJSDR2009056.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2009056
Registration ID:192485
Published In: Volume 5 Issue 9, September-2020
DOI (Digital Object Identifier):
Page No: 354 - 358
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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