A SURVEY PAPER ON MISSING DATA IN DATA MINING

Missing data are characterized as a portion of the qualities in the data set are either lost or not watched or not accessible because of natural or non natural reasons. Data with missing qualities confuses both the data examination and the accommodation of an answer for new data. Numerous specialists are working on this issue to present more modern techniques. Despite the fact that numerous strategies are available, investigators are confronting trouble in seeking anappropriate technique because of absence of information about the strategies and their applicability. This research paper additionally directs a formal review of the missing data strategy. It talks about the strategies that are analyzed in the written works and perceptions that the authors have made