Full duplicate candidate pruning for frequent connected subgraph mining
Author:
Affiliation:
1. Advanced Technologies Application Center, Havana, Cuba
2. Computer Science Department, National Institute of Astrophysics, Optics and Electronics, Puebla, México
Publisher
IOS Press
Subject
Artificial Intelligence,Computational Theory and Mathematics,Computer Science Applications,Theoretical Computer Science,Software
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. FastGCN + ARSRGemb: a novel framework for object recognition;Journal of Electronic Imaging;2021-05-24
2. Attributed Relational SIFT-Based Regions Graph: Concepts and Applications;Machine Learning and Knowledge Extraction;2020-08-06
3. An updated dashboard of complete search FSM implementations in centralized graph transaction databases;Journal of Intelligent Information Systems;2019-12-20
4. Bag of ARSRG Words (BoAW);Machine Learning and Knowledge Extraction;2019-08-05
5. Extension of Canonical Adjacency Matrices for Frequent Approximate Subgraph Mining on Multi-Graph Collections;International Journal of Pattern Recognition and Artificial Intelligence;2017-05-09
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