Classification of Incomplete Data Handling Techniques – An Overview
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 1
Abstract
The task of classification with incomplete data is a complex phenomena and its performance depends upon the method selected for handling the missing data. Missing data occur in datasets when no data value is stored for an attribute / feature in the dataset. This paper provides a brief overview to the problem of incomplete data handling techniques and discusses the various methods used with classification and missing data.
Authors and Affiliations
N. C. Vinod, , Dr. M. Punithavalli
Keywords
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