MISSING VALUE ESTIMATION IN A DATASET

This intellectual property addresses a novel unsupervised algorithm to estimate missing values in multi-attribute objects. The impact of missing attribute value can be serious in different applications such as dataset creation and data analysis. It can lead to biased information, biased estimation or projection, weakened statistical power, and decreased ability of findings from data. The proposed algorithm uses mean and standard deviation of at- tributes, and it does factor the relationship be- tween attributes by using the correlation coefficients between attributes. Experimental results on three datasets show that the proposed algorithm outperforms or is comparable to two state-of-the-art algorithms. The time complexity of the proposed algorithm is better than that of the other algorithms.