Mining globally distributed frequent subgraphs in a single labeled graph

• Main Authors: JIANG, Xing, XIONG, Hui, WANG, Chen, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2009
• Subjects: Frequent subgraph mining; G-Measure; G-Pattern; Computer Engineering; Databases and Information Systems; Data Storage Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/5196; https://ink.library.smu.edu.sg/context/sis_research/article/6199/viewcontent/1_s2.0_S0169023X09000585_main.pdf
• Institution: Singapore Management University

Recent years have observed increasing efforts on graph mining and many algorithms have been developed for this purpose. However, most of the existing algorithms are designed for discovering frequent subgraphs in a set of labeled graphs only. Also, the few algorithms that find frequent subgraphs in a...