International Journal of Computer Applications
Most of the data collection techniques, like survey studies, field experiments, crime findings, etc., produce huge amount of information, where missing values are inevitable. A data preprocessing is a process of cleaning the data, data integration and data transformation. It intends to reduce some noises and inconsistent data. Data preprocessing is the process of keeping the dataset ready for the process. The results of preprocessing step are later used by data mining algorithms. This paper focus on preprocessing the attributes that are related to crime data and that affects the final output of the mining processes.