I want to add some artificial outliers to my data set by follow same method below.
so, how i can add contaminated data statistically to real data set like Pima Indians Diabetes?
info: Pima Indians Diabetes: 768 instances 8 attributes
enter link description here
Note: I want steps not programming code.
We have added uniformly distributed attributes as noisy attributes to data sets . To compare outlier detection and false alarm rate in our experiments we have planted 3% to 5% artificial outliers into real data sets according to the data sets domain knowledge (statistical characteristics like mean, standard deviation, class distribution, type of attributes). Blockquote