M. E. Ali

Work place: Physics and Engineering Mathematics Department, Faculty of Engineering, Kafrelsheikh University, 33516, Kafrelsheikh, Egypt,

E-mail: manal.ali@eng.kfs.edu.eg


Research Interests: Mathematics, Information Systems, Computational Science and Engineering


Manal El-Said Ali, born in Kafrelsheikh, Egypt, and received her Ph.D degree in Faculty of Engineering, Tanta University, Tanta, Egypt in 2011. She is currently a lecturer in the Faculty of Engineering, Kafrelsheikh University, Egypt. Her current research interests include engineering mathematics, information systems, decision-making, granular computing, fuzzy sets, and rough set theory applications.

Author Articles
Handling Numerical Missing Values Via Rough Sets

By Elsayed Sallam T. Medhat A.Ghanem M. E. Ali

DOI: https://doi.org/10.5815/ijmsc.2017.02.03, Pub. Date: 8 Apr. 2017

Many existing industrial and research data sets contain missing values. Data sets contain missing values due to various reasons, such as manual data entry procedures, equipment errors, and incorrect measurements. It is usual to find missing data in most of the information sources used. Missing values usually appear as "NULL" values in the database or as empty cells in the spreadsheet table. Multiple ways have been used to deal with the problem of missing data. The proposed model presents rough set theory as a technique to deal with missing data. This model can handle the missing values for condition and decision attributes, the web application was developed to predict these values.

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