• CLOSEST FIT APPROACH TO HANDLE ODD SIZE MISSING BLOCK VALUES

Abstract

Completeness, quality and real world data preparation is a key pre-requirement for efficient data mining. Database or Table with missing values complicates analysis and data mining. To overcome this situation, certain statistical techniques are required to be employed during the data preparation. With the help of statistical methods and techniques, we can recover incompleteness of missing data and reduce ambiguities. In this paper, we introduce a method by which odd size missing block values are recovered. Whole study comprises numerical variables of time series data and semi time series data.