2024-03-29T01:19:15Z
https://meral.edu.mm/oai
oai:meral.edu.mm:recid/4599
2021-12-13T02:18:19Z
1582963302567:1597824273898
user-ucsy
An Improvement of FP-Growth Mining Algorithm Using Linked list
Maw, San San
Frequent pattern mining such as association rules,clustering, and classification is one of the most centralareas in the data mining research. One of the foremostprocesses in association rule mining is the discovering ofthe frequent pattern. To draw on all substantial frequentpatterns from the sizable amount of transaction data,various algorithms have been proposed. The proposedresearch aims to mine frequent patterns from the sizableamount of transaction database by using linked list. In thismethod, first scanning the database, the count of frequent 1-itemsets is searched using the hash map and for nextitemsets, it is stored in the linked list, second scanning thedatabase. The frequent 2-itemsets is generated using hashtable and so on. So, the proposed research needs only twoscans and this proposed method requires shorter processingtime and smaller memory space.
2020-02-28
http://hdl.handle.net/20.500.12678/0000004599
https://meral.edu.mm/records/4599