Sentence examples for mining approaches have from inspiring English sources
Fuzzy mining approaches have recently been discussed for deriving fuzzy knowledge.
To understand multiple aspects of human behavior, in recent years many reality mining approaches have been used starting from individual to group to understand measures like personality, stress, interest level, spread of diseases and product adoption [3, 22].
Plenty of PPI text mining approaches have been categorized into two groups, one is statistical calculation of the co-occurrence of genes or proteins, and the other is the computational linguistic method [2], [4].
As a solution, text mining approaches have increasingly been deployed in the biomedical domain.
Data mining approaches have found interesting results in our data as well [ 55].
Pattern mining approaches have been tuned during the last decades to be computationally efficient.
In response to these limitations, many novel data-mining approaches have been developed [ 8].
Recently, data-mining approaches have been employed to identify RGLs and RGAs from plant EST databases.
In response to these challenges, a number of new data-mining approaches have been developed [ 2].
In the past few years, data-mining approaches have been successfully used to isolate RGLs or RGAs from sugarcane [ 36], wheat [ 37] and maize [ 25].
To address this issue, several powerful data-mining approaches have been developed to identify susceptibility genes involved in such complex interactions [ 14– 16].
