Algorithm for Missing Values Imputation in Categorical Data with Use of Association Rules
Machine Learning
2012-11-09 v1
Abstract
This paper presents algorithm for missing values imputation in categorical data. The algorithm is based on using association rules and is presented in three variants. Experimental shows better accuracy of missing values imputation using the algorithm then using most common attribute value.
Keywords
Cite
@article{arxiv.1211.1799,
title = {Algorithm for Missing Values Imputation in Categorical Data with Use of Association Rules},
author = {Jiří Kaiser},
journal= {arXiv preprint arXiv:1211.1799},
year = {2012}
}
Comments
4 pages, 3 tables, 2011 Third International Joint Journal Conference in Computer, Electronics and Electrical, ACEEE International Journal on Recent Trends in Engineering & Technology, Vol. 06, Is. 01, Nov 2011