ANS: Adaptive Neighbor Synthetic Majority Oversampling TEchnique

In smotefamily: A Collection of Oversampling Techniques for Class Imbalance Problem Based on SMOTE

Adaptive Neighbor Synthetic Majority Oversampling TEchnique

Description

Generate a oversampling dataset from imbalanced dataset using Adaptive Neighbor SMOTE which provides the parameter K to each minority instance automatically

Usage

ANS(X, target, dupSize = 0)

Arguments

X	A data frame or matrix of numeric-attributed dataset
target	A vector of a target class attribute corresponding to a dataset X.
dupSize	A number of vector representing the desired times of synthetic minority instances over the original number of majority instances, 0 for balanced dataset.

Value

data	A resulting dataset consists of original minority instances, synthetic minority instances and original majority instances with a vector of their respective target class appended at the last column
syn_data	A set of synthetic minority instances with a vector of minority target class appended at the last column
orig_N	A set of original instances whose class is not oversampled with a vector of their target class appended at the last column
orig_P	A set of original instances whose class is oversampled with a vector of their target class appended at the last column
K	A vector of parameter K for each minority instance
K_all	The value of parameter C for nearest neighbor process used for identifying outcasts
dup_size	The maximum times of synthetic minority instances over original majority instances in the oversampling
outcast	A set of original minority instances which is defined as minority outcast
eps	The value of eps which determines automatic K
method	The name of oversampling method used for this generated dataset (ANS)

Author(s)

Wacharasak Siriseriwan <[e-mail]>

References

Siriseriwan, W. and Sinapiromsaran, K. Adaptive neighbor Synthetic Minority Oversampling TEchnique under 1NN outcast handling.Songklanakarin Journal of Science and Technology.

Examples

	data_example = sample_generator(5000,ratio = 0.80)
	genData = ANS(data_example[,-3],data_example[,3])

smotefamily documentation built on May 29, 2024, 7:54 a.m.