基本信息
浏览量:273
职业迁徙
个人简介
The data mining group of Prof. Dr. Erich Schubert is focused on unsupervised data analysis, and belongs to the chair of artificial intelligence. We offer seminars, lecutres, and thesises in related topics, focused on advancing research in this domain. Our research is focused on advancing the methods (e.g., improving the quality and speed). Key research areas include: (i) cluster analysis (ii) anomaly detection (iii) intrinsic dimensionality and data complexity (iv) topic modeling (v) event detection (vi) similarity search in databases.
研究兴趣
论文共 86 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
INFORMATION SYSTEMS (2024): 102290-102290
Similarity Search and Applications: 16th International Conference, SISAP 2023, A Coruña, Spain, October 9–11, 2023, Proceedingspp.148-162, (2023)
引用0浏览0EI引用
0
0
Melanie Derksen,Julia Becker,Mohammad Fazleh Elahi,Angelika Maier, Marius Maile, Ingo Patzold, Jonas Penningroth, Bettina Reglin, Markus Rothganger,Philipp Cimiano,Erich Schubert,Silke Schwandt,
2023 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY, ISMARpp.129-137, (2023)
Lernen, Wissen, Daten, Analysenpp.387-398, (2023)
引用0浏览0EI引用
0
0
Similarity Search and Applications: 16th International Conference, SISAP 2023, A Coruña, Spain, October 9–11, 2023, Proceedingspp.41-55, (2023)
引用0浏览0EI引用
0
0
Information Systems (2022)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn