Identifying exceptional (dis)agreement between groups-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Identifying exceptional (dis)agreement between groups

Published:2019-11-26 Issue:2 Volume:34 Page:394-442
ISSN:1384-5810
Container-title:Data Mining and Knowledge Discovery
language:en
Short-container-title:Data Min Knowl Disc

Author:

Belfodil Adnene,Cazalens Sylvie,Lamarre Philippe,Plantevit Marc^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s10618-019-00665-9.pdf

Reference65 articles.

1. Amelio A, Pizzuti C (2012) Analyzing voting behavior in italian parliament: group cohesion and evolution. In: International conference on advances in social networks analysis and mining, ASONAM 2012, Istanbul, Turkey, 26–29 August 2012, pp 140–146. https://doi.org/10.1109/ASONAM.2012.33

2. Amer-Yahia S, Kleisarchaki S, Kolloju NK, Lakshmanan LVS, Zamar RH (2017) Exploring rated datasets with rating maps. In: Proceedings of the 26th international conference on World Wide Web, WWW 2017, Perth, Australia, April 3–7, 2017, pp 1411–1419. https://doi.org/10.1145/3038912.3052623

3. Atzmueller M (2015) Subgroup discovery. Wiley Interdiscip Rev Data Min Knowl Discov 5(1):35–49. https://doi.org/10.1002/widm.1144

4. Atzmüller M, Puppe F (2006) Sd-map—a fast algorithm for exhaustive subgroup discovery. In: Knowledge discovery in databases: PKDD 2006, 10th European conference on principles and practice of knowledge discovery in databases, Berlin, Germany, September 18–22, 2006, Proceedings, pp 6–17. https://doi.org/10.1007/11871637_6

5. Bay SD, Pazzani MJ (2001) Detecting group differences: mining contrast sets. Data Min Knowl Discov 5(3):213–246. https://doi.org/10.1023/A:1011429418057

Cited by 1 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. Efficient Exploration of Interesting Aggregates in RDF Graphs;Proceedings of the 2021 International Conference on Management of Data;2021-06-09

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