Efficient Associate Rules Mining Based on Topology for Items of Transactional Data

Efficient Associate Rules Mining Based on Topology for Items of Transactional Data

A challenge in association rules’ mining is effectively reducing the time and space complexity in association rules mining with predefined minimum support and confidence thresholds from huge transaction databases. In this paper, we propose an efficient method based on the topology space of the items...

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Bibliographic Details
Main Authors: Bo Li, Zheng Pei, Chao Zhang, Fei Hao
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Mathematics
Subjects:
knowledge discovery in database (KDD)
frequent itemsets
closed itemsets
association rules
the topology for itemsets
Online Access:https://www.mdpi.com/2227-7390/11/2/401

Internet

https://www.mdpi.com/2227-7390/11/2/401

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