Step by step explanation would be very helpful. Thanks!

8. Frequent Pattern Mining over Data Stream (10 marks) A data scientist is applying the lossy counting algorithm to a transactional data stream to obtain the counts of different items. a) Let the input be: 2, 3, 4, 2,6, 5,2, 3,4,3, 4, 4, 1, 5, 5, 6, 5, 3, 6, 2, 6, 5, 1, 2,6, 4, 3, 3, 3, 5, 1, 1, 6, 4, 1, 5, 1, 1,3, 4, 2, 6, 6, 6, 1, 2, 5, 1, 6, 2 (going left-to-right). The bucket size is set to 10 and frequency threshold is 0.4. Please apply lossy counting method to show the processing of getting the counts of items. (5 marks) b) If the bucket size is set to 1000, the total length of the transactional data stream is 10000, and the output count of an item A is 102. What could be the true count of item A and the support threshold ?? Please explain in detail