The effect of temporal parameters from large events (MSLE), uniform event set (MSUE), and relation rules (MSRR) are also investigated.
To get the uniform event set, we defined the minimum support threshold for uniform events (MSUE) as 8%.
While well-known association rule mining algorithms such as Apriori and FP-Growth use minimum support threshold in the generation of rules from a dataset, temporal relationship use the minimum support threshold for large events (MSLE) to generate the large event set, minimum support threshold for uniform event set (MSUE) to generate the uniform event set, and finally minimum support threshold for relation rule (MSRR) to generate the frequent relational rules.
Effect of MSUE. Generation of the uniform event set depends on the minimum support threshold for uniform event (MSUE) value, which represents any occurrence of events within the intervals from the large event set.
Temporal relation rule approach uses several parameters, which hold threshold values, of MSLE, MSUE, and MSRR along the process of rule mining.
 Mississippi State University Extension Service (MSUES
), Delta Agricultural Weather Center, Mississippi State University, Starkville, Miss, USA, 2016, http://www.deltaweather.msstate.edu.