Basic Steps to Get Data Quality for Data Mining

The Data extracted from many sources will be integrated and then transform into suitable form. Tthese data may be includes many errors and noise or inconsistencies data. It is necessary to clean the data to get quality data before the data mined from errors and noise data. The cleaning is the first task before any data analysis The resultant of cleaning analysis/model can be stamped for data quality which very impotent for data minig process because without data quality the algorithms of data nining can not work well or the result of algorithms not good. Therefor this paper deal with Basics steps to clean data that extracted from many sources to get good quality data for data mining also reduce processing time, storage data and reducing costs and increasing profits, for this case an implementation for data selected from clinical chemical test for yarmook hospital education to detect and remove the errors or noise and or inconsistencies data