Efficiently Mining Frequent Itemsets on Massive Data

Efficiently Mining Frequent Itemsets on Massive Data

Frequent itemset mining is an important operation to return all itemsets in the transaction table, which occur as a subset of at least a specified fraction of the transactions. The existing algorithms cannot compute frequent itemsets on massive data efficiently, since they either require multiple-pa...

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Bibliographic Details
Main Authors: Xixian Han, Xianmin Liu, Jian Chen, Guojun Lai, Hong Gao, Jianzhong Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Frequent itemset mining
massive data
PFIM algorithm
pruning rule
incremental update
Online Access:https://ieeexplore.ieee.org/document/8657696/

Internet

https://ieeexplore.ieee.org/document/8657696/

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