An approach for solving missing values in data set using clustering-curve fitting technique
Joint Authors
al-Janabi, Kazim
Habibi, Mansur
Nimah, Nawras Riyad
Source
Journal of Kufa for Mathematics and Computer
Issue
Vol. 2, Issue 2 (31 Dec. 2014), pp.81-99, 19 p.
Publisher
University of Kufa Faculty of Mathematics and Computers Science
Publication Date
2014-12-31
Country of Publication
Iraq
No. of Pages
19
Main Subjects
Topics
Abstract EN
Missing values in data sets represent one of the greatest challenge in analyzing data to extract knowledge from the data set.
The work in this paper presents a new approach for solving the missing values problems by using and merging two different techniques; clustering (K-means and Expectation Maximization) and curve fitting.
More than twenty thousand records of real health data set collected from different Iraqi hospitals were used to create and test the proposed approach that showed better results than the most popular techniques for estimation missing values such as most common values, overall overage, class average, and class most common values.
Different software were used in the proposed work including WEKA (Waikato Environment for Knowledge Analysis), Matlab, Excel and C++.
American Psychological Association (APA)
al-Janabi, Kazim& Habibi, Mansur& Nimah, Nawras Riyad. 2014. An approach for solving missing values in data set using clustering-curve fitting technique. Journal of Kufa for Mathematics and Computer،Vol. 2, no. 2, pp.81-99.
https://search.emarefa.net/detail/BIM-542978
Modern Language Association (MLA)
al-Janabi, Kazim…[et al.]. An approach for solving missing values in data set using clustering-curve fitting technique. Journal of Kufa for Mathematics and Computer Vol. 2, no. 2 (Dec. 2014), pp.81-99.
https://search.emarefa.net/detail/BIM-542978
American Medical Association (AMA)
al-Janabi, Kazim& Habibi, Mansur& Nimah, Nawras Riyad. An approach for solving missing values in data set using clustering-curve fitting technique. Journal of Kufa for Mathematics and Computer. 2014. Vol. 2, no. 2, pp.81-99.
https://search.emarefa.net/detail/BIM-542978
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 98-99
Record ID
BIM-542978