Susing MSMIA Algorithm for finding missing value handling Boeing Data Set

Main Stream Data Multiple Imputation is one of the main models for Missing Data Imputation in data stream mining, in which a fixed length of recently arrived data is considered. In a Main Stream Data Multiple Imputation over a transactional data stream, by the arrival of a new transaction, the oldest transaction is removed from the Data Stream and the new transaction is inserted into the Data Stream. Therefore, it always contains the newest transactions. The Data Stream is usually stored and maintained within the main memory for fast processing. Due to unbounded amount of incoming transactions and limited amount of memory, the Data Stream size must be limited. Since the cost of insertion and deletion of transaction is significant, segments of transactions can be added or removed from the Data Stream instead of individual transactions. The MSMIA Algorithm