Mining exceptional closed patterns in attributed graphs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Link
http://link.springer.com/article/10.1007/s10115-017-1109-2/fulltext.html
Reference31 articles.
1. Atzmüeller M, Doerfel S, Mitzlaff F (2016) Description-oriented community detection using exhaustive subgroup discovery. Inf Sci 329:965–984
2. Bendimerad AA, Plantevit M, Robardet C (2016) Unsupervised exceptional attributed sub-graph mining in urban data. In: IEEE 16th international conference on data mining, ICDM 2016, Barcelona, Spain, 12–15 Dec 2016, pp 21–30
3. Boley M, Lucchese C, Paurat D, Gärtner T (2011) Direct local pattern sampling by efficient two-step random procedures. In: ACM SIGKDD 2011, pp 582–590
4. Boulicaut J, Plantevit M, Robardet C (2016) Local pattern detection in attributed graphs. In: Solving large scale learning tasks. Challenges and algorithms—essays dedicated to Katharina Morik on the occasion of her 60th birthday, pp 168–183
5. Duivesteijn W, Feelders A, Knobbe AJ (2016) Exceptional model mining—supervised descriptive local pattern mining with complex target concepts. Data Min Knowl Discov 30(1):47–98
Cited by 15 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. FCSG-Miner: Frequent closed subgraph mining in multi-graphs;Information Sciences;2024-04
2. Using Exceptional Attributed Subgraph Mining to Explore Interindividual Variability in Odor Pleasantness Processing in the Piriform Cortex and Amygdala;Intelligent Computing;2024-01
3. Unexpected Attributed Subgraphs: a Mining Algorithm;Proceedings of the International Conference on Advances in Social Networks Analysis and Mining;2023-11-06
4. Peer recommendation by using pattern mining to generate candidate keywords in attributed graphs;Sādhanā;2023-04-21
5. New Algorithm for Predicting the States of a Computer Network Using Multivalued Dependencies;Automatic Control and Computer Sciences;2023-02
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3