基本信息
浏览量:1216
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
个人简介
My research in large-scale data mining and machine learning (ML) focuses on principled, interpretable, and scalable methods for discovering and summarizing the unknown unknowns in the world's data by leveraging the inherent connections within them. These connections are naturally modeled in networks or graphs, which in turn span every facet of our lives: email communication networks, knowledge graphs for web search, social networks, coauthorship graphs, brain networks, artificial neural networks, and more. My work harnesses the massive scale, heterogeneity, and complexity of these data by providing concise and interpretable network summaries as a way to: (a) speed up follow-up analysis and methods that only need to apply on smaller, representative data; (b) gain understanding into the underlying processes, and inform our decisions by removing the burden of manually sifting through mountains of data; and (c) provide insights into scientific data, generate new hypotheses, and lead to novel scientific discoveries.
研究兴趣
论文共 185 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
PROCEEDINGS OF THE 17TH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING, WSDM 2024pp.994-1002, (2024)
arxiv(2024)
引用0浏览0引用
0
0
arxiv(2024)
引用0浏览0引用
0
0
Puja Trivedi,Ryan A Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim,Nedim Lipka,Namyong Park, Nesreen Ahmed,Danai Koutra
引用0浏览0引用
0
0
arxiv(2024)
引用0浏览0引用
0
0
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.6810-6814, (2024)
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