Novel Clustring Approach To Find The Missing Data In Large Datasets
Missing Values, Correlation, regression, clustering.
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.
"Novel Clustring Approach To Find The Missing Data In Large Datasets ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 9, page no.354 - 358, September-2020, Available :https://ijsdr.org/papers/IJSDR2009056.pdf
Volume 5
Issue 9,
September-2020
Pages : 354 - 358
Paper Reg. ID: IJSDR_192485
Published Paper Id: IJSDR2009056
Downloads: 000347213
Research Area: Engineering
Country: Dindigul, Tamilnadu, India
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
