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題名 Finding maximal quasi-cliques containing a target vertex in a graph
作者 陳良弼
Chou, Yuan Heng
Wang, En Tzu
Chen, Arbee L. P.
貢獻者 資訊管理系
關鍵詞 Graphic methods; Information management; Biological networks; Complete graphs; Dense sub-graphs; Maximal clique; Maximal quasi-cliques; Pruning techniques; Quasi-cliques; Synthetic datasets; Graph theory
日期 2015-07
上傳時間 14-Aug-2017 15:33:55 (UTC+8)
摘要 Many real-world phenomena such as social networks and biological networks can be modeled as graphs. Discovering dense sub-graphs from these graphs may be able to find interesting facts about the phenomena. Quasi-cliques are a type of dense graphs, which is close to the complete graphs. In this paper, we want to find all maximal quasi-cliques containing a target vertex in the graph for some applications. A quasi-clique is defined as a maximal quasi-clique if it is not contained by any other quasi-cliques. We propose an algorithm to solve this problem and use several pruning techniques to improve the performance. Moreover, we propose another algorithm to solve a special case of this problem, i.e. finding the maximal cliques. The experiment results reveal that our method outperforms the previous work both in real and synthetic datasets in most cases.
關聯 DATA 2015 - 4th International Conference on Data Management Technologies and Applications, Proceedings, (), 5-15
4th International Conference on Data Management Technologies and Applications, DATA 2015; Colmar, Alsace; France; 20 July 2015 到 22 July 2015; 代碼 113501
資料類型 conference
dc.contributor 資訊管理系zh_Tw
dc.creator (作者) 陳良弼zh_TW
dc.creator (作者) Chou, Yuan Hengen_US
dc.creator (作者) Wang, En Tzuen_US
dc.creator (作者) Chen, Arbee L. P.en_US
dc.date (日期) 2015-07en_US
dc.date.accessioned 14-Aug-2017 15:33:55 (UTC+8)-
dc.date.available 14-Aug-2017 15:33:55 (UTC+8)-
dc.date.issued (上傳時間) 14-Aug-2017 15:33:55 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/111933-
dc.description.abstract (摘要) Many real-world phenomena such as social networks and biological networks can be modeled as graphs. Discovering dense sub-graphs from these graphs may be able to find interesting facts about the phenomena. Quasi-cliques are a type of dense graphs, which is close to the complete graphs. In this paper, we want to find all maximal quasi-cliques containing a target vertex in the graph for some applications. A quasi-clique is defined as a maximal quasi-clique if it is not contained by any other quasi-cliques. We propose an algorithm to solve this problem and use several pruning techniques to improve the performance. Moreover, we propose another algorithm to solve a special case of this problem, i.e. finding the maximal cliques. The experiment results reveal that our method outperforms the previous work both in real and synthetic datasets in most cases.en_US
dc.format.extent 121 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) DATA 2015 - 4th International Conference on Data Management Technologies and Applications, Proceedings, (), 5-15en_US
dc.relation (關聯) 4th International Conference on Data Management Technologies and Applications, DATA 2015; Colmar, Alsace; France; 20 July 2015 到 22 July 2015; 代碼 113501zh_TW
dc.subject (關鍵詞) Graphic methods; Information management; Biological networks; Complete graphs; Dense sub-graphs; Maximal clique; Maximal quasi-cliques; Pruning techniques; Quasi-cliques; Synthetic datasets; Graph theoryen_US
dc.title (題名) Finding maximal quasi-cliques containing a target vertex in a graphen_US
dc.type (資料類型) conference