A typical correlation measure is Relief - it assigns a relevant weight to each feature that represents the relevance of the feature variable to the class variable [ 42]; the measure has been used in CFS [ 15].
The size of each bubble represents the relevance of the event, measured by the volume of tweets associated with it.
Here Score w represents the relevance score of the input keyword; Scor e w i ′ represents the relevance score of expanded keyword w i ′, while R i is the value of semantic relatedness.
If file F i contains keyword w j, a tuple w j, s ji is insert into metadata M(F i ), where s ji represents the relevance score of keyword w j response to file F i. All of the file metadata constitute metadata set, which is shown in Figure 3. Figure 3 An example of metadata set.
The size of each item determined manually, represents the relevance to family physicians.
Most of the times, the weight w ij of the edge between nodes i and j represents the relevance of the connection.
Moreover, a score representing the relevance of the gene, miRNA, drug, SNP or region with respect to the disease is given.
Here γ is a coefficient associated with f(C ij) that represents the relevance of f(C ij) in the MRF.
For each t i (i = 1,2,…, 12037) and d j (j = 1,2,…, 10), TF ∗ IDF (t i, d j, D) represents the relevance between t i and d j, the smaller the value, the higher the relevance, whereas zero means the nonexistence of t i in d j.
Furthermore, BP(2) formula represents the relevance of the two RNA-binding residues combined with different distances from 1 to N − 1 and takes into account the fact that the correlation value between two residues is smaller when the distance k is larger which proves the rationality of the definition.
