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Treatment of Missing Values for Association Rules: A Recent Survey
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 70 - Number 26 |
| Year of Publication: 2013 |
| Authors: Anupama A. Chavan, Vijay Kumar Verma |
10.5120/12228-8274
|
Anupama A. Chavan, Vijay Kumar Verma . Treatment of Missing Values for Association Rules: A Recent Survey. International Journal of Computer Applications. 70, 26 ( May 2013), 1-4. DOI=10.5120/12228-8274
Abstract
Missing values and incomplete data are usual occurrences in real datasets [1]. The problem of recovering missing values from a dataset has become an important research issue in the field of data mining and machine learning [2]. With the speedy increase in the use of databases, the difficulty of missing values unavoidably arises. The techniques developed to effectively recover these missing values should be highly accurate in order to remove the missing values completely. The association rules are the popular method that is effectively used to establish the relationship among items in databases. The discovered association rules are useful to recover the missing values in databases. There are several methods proposed to surmount the problem of missing value [4]. In this paper we present a study over the existing methods.
References
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