Facilitating User Authorization from Imbalanced Data Logs of Credit Cards Using Artificial Intelligence

Table 1

Symbolic notations used in the proposed algorithm CtRUSBoost.

	Dataset segment under consideration
	Hypothesis value obtained through support vector machine in iteration for the instance (this serves as a numeric confidence rating)
	Hypothesis value obtained through decision tree in iteration for the instance (this serves as a numeric confidence rating)
	Cumulative pseudo loss
	Parameter to update the weight factor
	Factor for normalizing the distribution of weights taking the full training dataset/or normalized value for the distribution
	Distribution of weights at iteration taking the full training dataset for the sample
	Distribution of weights at iteration taking the full training dataset
	Distribution of weights for temporary training dataset
	temporary training dataset
	row with values of all columns except the last one (i.e., label)
	A label for the row
	Minority class label
	Total number of iterations employed in the ML model
or	Total counts of samples present in the
	Rows/tuples in the dataset (excluding the last column having labeled entries)
	Total available labels in the dataset