@inproceedings{0e5e94009509454087d5e95a61685809,
title = "Frequent pattern-based graph exploration",
abstract = "Visual graph exploration can help the users have an intuitive impression about a dataset for the first time. However, it is better to provide some guidance so that the users can quickly locate the “interesting” or “informative” area in the graph. Then they can start the next stage of sense-making. We propose a visual exploration system which provides some frequent sub-graphs extracted from the whole graph, and the relationship between them. Thus, users can raise their study questions more quickly when they first confront a graph dataset. We evaluate our exploration system with two datasets. Specifically, we demonstrate how to raise a question and find the answer with our system, which validates the effectiveness of this project.",
keywords = "Graph exploration, Graph mining, Graph visualization, Visualization",
author = "Kai Yan and Weiwei Cui and Tiejun Zhao",
note = "Publisher Copyright: {\textcopyright} 2019 Copyright held by the owner/author(s).; 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019 ; Conference date: 20-09-2019 Through 22-09-2019",
year = "2019",
month = sep,
day = "20",
doi = "10.1145/3356422.3356446",
language = "英语",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
booktitle = "Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019",
address = "美国",
}