Data Cleaning: Approaches for Earth Observation Image Information Mining
نویسندگان
چکیده
Actually the growing volume of data provided by different sources some times may present inconsistencies, the data could be incomplete with lack of values or containing aggregate data, noisy containing errors or outliers, etc. Then data cleaning consist in filling missing values, smooth noisy data, identify or remove outliers and resolve inconsistencies. In more general definition, data cleaning is a task to identify something that is unusual and try to correct it.
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