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Extending association rules with graph patterns

  • Published:2020-03 Issue: Volume:141 Page:112897
  • ISSN:0957-4174
  • Container-title:Expert Systems with Applications
  • language:en
  • Short-container-title:Expert Systems with Applications

Author:

Wang XinORCID,Xu Yang,Zhan Huayi

Funder

NSFC

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference43 articles.

1. Mining association rules between sets of items in large databases;Agrawal,1993

2. Big graph mining: Frameworks and techniques;Aridhi;Big Data Research,2016

3. Beyond market baskets: Generalizing association rules to correlations;Brin,1997

4. minstab: Stable network evolution rule mining for system changeability analysis;Chaturvedi;IEEE Transactions on Emerging Topics in Computational Intelligence,2019

5. Rule-based graph repairing: Semantic and efficient repairing methods;Cheng,2018

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1. Supports estimation via graph sampling;Expert Systems with Applications;2024-04

2. Discovering Association Rules with Graph Patterns in Temporal Networks;Tsinghua Science and Technology;2023-04

3. Inconsistency Detection with Temporal Graph Functional Dependencies;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

4. A novel approach to discover frequent weighted subgraphs using the average measure;Applied Intelligence;2023-03-08

5. Mining Frequent Patterns with Counting Quantifiers;Web and Big Data;2023
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