Analysis on Uncertain Data of Share Market Using Decision Tree and Pruning Algorithm
In this paper, the authors are focusing on data with uncertain information, instead of precise or known values. Uncertain value is found in many application while data collection. Data uncertainty arises naturally in many applications due to various reasons. They briefly discuss three categories here: measurement errors, data staleness, and repeated measurements. In uncertainty, the value of a data item is often represented by multiple values i.e. values in range which forming a probability distribution.