http://swrc.ontoware.org/ontology#Article
疑似クリーク制約を用いたクリーク族の全列挙
ja
ジェイ 泓杰 1
原口 誠 1
大久保 好章 1
富田 悦次 2
Hongjie Zhai 1
Makoto Haraguchi 1
Yoshiaki Okubo 1
Etsuji Tomita 2
1 北海道大学
2 電気通信大学
1 Graduate School of Information Science and Technology, Hokkaido University
2 The Advanced Algorithms Research Laboratory,The University of Electro-Communications
Many variants of pseudo-cliques have been introduced as a relaxation model of cliques to detect communities in real world networks. For most types of pseudo-cliques, enumeration algorithms can be designed just similar to maximal clique enumerator. However, the problem of enumerating pseudo-cliques is computational hard, because the number of maximal pseudo-cliques-cliques is huge in general. Furthermore, because of the weak requirement of k-plex, sparse communities are also allowed depending on the parameter k. To obtain a class of more dense pseudo cliques and to improve the computational performance, we introdue a derived graph whose vertices are cliques in the original input graph. Then our target pseudo must be a clique or a pseudo clique of the derived graph under an additional constraint requiring density in the original graph. An enumerator for this new class is designed and its computational efficientcy is experimentally verfied.
人工知能基本問題研究会（第96回）
SIG-FPAI
SIG-FPAI
B4
03
56-61
2015-01-07
(一社)人工知能学会
名古屋工業大学 6号館 11F 会議室