Probabilistic Support Prediction: Fast Frequent Itemset Mining in Dense Data

Probabilistic Support Prediction: Fast Frequent Itemset Mining in Dense Data

Frequent itemset mining (FIM) is a highly resource-demanding data-mining task fundamental to numerous data-mining applications. Support calculation is a frequently performed computation-intensive operation of FIM algorithms, whereas storing transactional data is memory-intensive. The FIM is even mor...

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Bibliographic Details
Main Authors: Muhammad Sadeequllah, Azhar Rauf, Saif Ur Rehman, Noha Alnazzawi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Association rule
data mining
frequent itemsets mining
support-count approximation
approximate algorithms
transaction databases
Online Access:https://ieeexplore.ieee.org/document/10468598/

Internet

https://ieeexplore.ieee.org/document/10468598/

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