Automatic Data Cleansing
{"Image DocumentName": "Automatic Data Cleansing", "Image ImageDescription": "Clustering. Identify outlier records using clustering based on Euclidian (or other) distance. Clustering the entire record space can reveal outliers that are not identified at the field level inspection. Main drawback of this method is computational time. Association rules. Association rules with high confidence and support define a different kind of pattern. Records that do not follow these rules are considered outliers. This slide will NOT go to Graphics. Ahsan Abdullah.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}