MATHEMATICAL SEGMENT INITIALIZATION MODEL USED IN MAIN STREAM FOR FINDING MULTIPLE DATA IMPUTATION

With a continuous source of data relating to transactions, the data may be segmented and processed in a data flow arrangement, optionally in parallel, and the data may be processed without storing the data in an intermediate database. Data from multiple sources may be processed in parallel. The segmentation also may define points at which aggregate outputs may be provided, and where checkpoints may be established. In this paper using the Mathematical Segment Initialization Model used to find a multiple data imputation in main stream.