Application of Data Mining in Traditional Benchmark Evaluation Model for Buildings Energy Consumption

Algorithm 2

An improved Apriori algorithm for mining association rules.

(1)	K = 1
(2)	Fk = {i |i ε I ^ σ ({i}) ≥ N ∗ min sup}
	{Find all frequent 1 item-sets}
(3)	Repeat
(4)	k = k + 1
(5)	CK = Apriori-gen (Fk + 1)
	{Make candidate items}
(6)	for each transaction t ε T do
(7)	Ct = subset (Ck, t)
(8)	{Identify all candidates that fit to t}
(9)	for each candidate item-set
(10)	c ε Ct do
(11)	σ (c) = σ (c) + 1
	{Increase support count}
(12)	end for
(13)	end for