Detecting Persistent User Behavior Using Probabilistic Counting in Network-Wide View

Algorithm 2

Estimating occurrence frequency.

	Input: the updated Bi, 1 ≤ i ≤ r
	Output: the estimated occurrence frequency
(1)	for each user u do
(2)	for each timeslot t do
(3)	compute ,
(4)	estimate
(5)	estimate
(6)	estimate the occurrence of u as
(7)	count the number of zero bits of Bi, 1 ≤ i ≤ r
(8)	compute the probability
(9)	end for
(10)	end for
(11)	estimate