Literature review on Probabilistic Threshold Query on uncertain data

Uncertain data is nothing but data with impurity or a data which is not completely correct. This data uncertainty has many reasons like incorrect input, changing environment, incorrect sampling, conversions and calculations. To deal with an Information Retrieval of such a data there must be refinement at both end that is query (input) and result of search (output). This challenge is well tackled in this paper literature review of various ways of inputs and forms of expected output; has been made. To analyze the effective processing of a data Nearest Neighborhood, Revers Nearest Neighborhood, Top K forms are considered for a study. After analysis of an input suitable comparative analysis of various systems is necessary and the effective means to introduce dynamism could be added in later half; to complete the system. The backbone of the system is to set the threshold effectively to fetch the desired data with highest degree of purity.