FS 3 : A sampling based method for top‐ k frequent subgraph mining-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

FS 3 : A sampling based method for top‐ k frequent subgraph mining

Published:2015-07-27 Issue:4 Volume:8 Page:245-261
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal

Author:

Saha Tanay Kumar¹,Al Hasan Mohammad¹

Affiliation:

1. Department of Computer & Information Science Indiana University‐Purdue University Indianapolis 723 W Michigan St Indianapolis IN 46202 USA

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11277

Reference42 articles.

1. Frequent substructure-based approaches for classifying chemical compounds

2. Mining coherent dense subgraphs across massive biological networks for functional discovery

3. N.Jin C.Young andW.Wang GAIA: graph classification using evolutionary computation. In Proceedings of the ACM SIGMOD International Conference on Management of data Indianapolis Indiana USA 2010 879–890.

4. X.Yan P. S.Yu andJ.Han Graph indexing: a frequent structure‐based approach. In Proceedings of the ACM SIGMOD International Conference on Management of Data Paris France 2004 335–346.

5. Substructure discovery using minimum description length and background knowledge;Cook D. J.;J Artif Intell Res,1994

Cited by 23 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. HE-Gaston algorithm for frequent subgraph mining with hadoop framework;Expert Systems with Applications;2024-10

2. WaveLSea: helping experts interactively explore pattern mining search spaces;Data Mining and Knowledge Discovery;2024-05-26

3. Supports estimation via graph sampling;Expert Systems with Applications;2024-04

4. 7 Dimensions of software change patterns;Scientific Reports;2024-03-13

5. A Frequent Construction Mining Scheme Based on Syntax Tree;Romanian Journal of Information Science and Technology;2023-03-24

同舟云学术

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