Estimation of Missing Attribute Value in Time Series Database in Data Mining

Swati Jain

Estimation of Missing Attribute Value in Time Series Database in Data Mining

Swati Jain * §

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§ College of technology and Engineering,India

Estimation of Missing Attribute Value in Time Series Database in Data Mining

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Abstract

Missing data is a widely recognized problem affecting large database in data mining. The substitution of mean values for missing data is commonly suggested and used in many statistical software packages, however, mean substitution lead to large errors in correlation matrix and therefore degrading the performance of statistical modeling. The problems arises are biasness of result data base, inefficient data in missing data when anomalous data is also present. In proposed work there is proper handling of missing data values and their analysis with removal of the anomalous data.This method provides more accurate and efficient result and reduces biasness of result for filling in missing data. Theoretical analysis and experimental results shows that proposed methodology is better.

References

15 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Swati Jain. 2017. "Estimation of Missing Attribute Value in Time Series Database in Data Mining". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 16 (GJCST Volume 16 Issue C5).

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GJCST Volume 16 Issue C5

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

H.2.8

J.4

Submission ReceivedDecember 14, 2015
Peer Review Double Blind
Handling Editor
Accepted January 4, 2016
Published January 15, 2016

Version of record

v1.2

Issue date

January 27, 2017

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Swati Jain, Kalpana Jain (PhD/Dr. count: 0)

View Count (all-time): 530

Total Views (Real + Logic): 3171

Total Downloads (simulated): 260

Publish Date: 2016 01, Fri

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Total Views: 3.2K

Total Downloads: 260

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