From: Utilizing maximal frequent itemsets and social network analysis for HIV data analysis
Abbreviation | Explanation |
---|---|
OE | Orthogonally encoded features |
FI-BOTH | Frequent itemsets are extracted from both cleaved and non-cleaved instances as features |
FI-YES | Frequent itemsets are extracted only from cleaved instances as features |
FI-NO | Frequent itemsets are extracted only from non-cleaved instances as features |
SUP-m | Frequent itemset minimum support threshold m as percentage is used; if it is not present then 3% is used |
PCA-100 | Principal component analysis is used for feature selection and 100 features are selected |
FI-CENTER | Frequent itemsets which have items in \(P_1\) or \(P^{\prime }_1\) position are selected as features |
uni | ANOVA F value’s used for feature selection |
RFE | Recursive feature elimination is used for feature selection |
SNA-100 | Social network analysis is used for feature selection and 100 features are selected |