Mining Temporal Association Rules with Temporal Soft Sets

Algorithm 1

The negFIN-STARM method.

	Input: a temporal transaction data set , a set , the min-TS , and the min-TC .
	Output: the class that contains all strong TARs during a period in .
(1)	Construct a TSS over from the temporal transaction data set with the item domain
(2)	Calculate and construct the -clip soft set of
(3)	Construct the IS induced by
(4)	Construct the BMC tree by
(5)	Traverse the BMC tree to get the Nodesets of all frequent 1-item sets
(6)	Identify the NegNodesets of all frequent k-item sets
(7)	Build the set-enumeration tree to generate the class , which consists of all temporal frequent item sets
(8)	fordo
(9)	fordo
(10)	if   then
(11)	Calculate ;
(12)	end if
(13)	if  then
(14)	Put into ;
(15)	end if
(16)	end for
(17)	end for
(18)	return;