Izham Jaya, M. and Sidi, Fatimah and Mat Yusof, Sharmila and Affendey, Lilly Suriani and Ishak, Iskandar and Jabar, Marzanah A. (2017) Replacing missing values using trustworthy data values from web data sources. Journal of Physics: Conference Series, 892. pp. 1-11. ISSN 1742-6588

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Abstract

In practice, collected data usually are incomplete and contains missing value. Existing approaches in managing missing values overlook the importance of trustworthy data values in replacing missing values. In view that trusted completed data is very important in data analysis, we proposed a framework of missing value replacement using trustworthy data values from web data sources. The proposed framework adopted ontology to map data values from web data sources to the incomplete dataset. As data from web is conflicting with each other, we proposed a trust score measurement based on data accuracy and data reliability. Trust score is then used to select trustworthy data values from web data sources for missing values replacement. We successfully implemented the proposed framework using financial dataset and presented the findings in this paper. From our experiment, we manage to show that replacing missing values with trustworthy data values is important especially in a case of conflicting data to solve missing values problem.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Computing
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	15 Jan 2019 23:56
Last Modified:	15 Jan 2019 23:56
URI:	https://repo.uum.edu.my/id/eprint/25423

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