基本信息
姓名: Binggui Zhou
科研机构: University of Macau
注册时间: 2021-10-06
活跃度: 579
科研机构: University of Macau
注册时间: 2021-10-06
活跃度: 579
研究兴趣画像
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根据浏览过的会议与期刊,该研究者最可能关注的研究方向是 数据挖掘与数据库, 信息系统与 Web, 人工智能与机器学习, 软件工程。 高频浏览的会议 / 期刊包括 COSIT, COMPSAC, CIKM, SDM, CIDR。
简历
关注的会议
总计10条数据。
| CCF | ICORE | 简称 | 全称 | 截稿日期 | 通知日期 | 会议日期 |
|---|---|---|---|---|---|---|
| B | B | DASFAA | International Conference on Database Systems for Advanced Applications | 2026-11-22 | 2027-05-28 | |
| A | A* | ICDE | International Conference on Data Engineering | 2026-11-11 | 2027-02-10 | 2027-05-17 |
| B | A | WSDM | International Conference on Web Search and Data Mining | 2026-08-17 | 2026-11-02 | 2027-02-15 |
| B | A | CIDR | The biennial Conference on Innovative Data Systems Research | 2026-08-04 | 2026-10-06 | 2027-01-24 |
| A | A* | KDD | ACM SIGKDD Conference on Knowledge Discovery and Data Mining | 2026-07-19 | 2026-11-14 | 2027-08-09 |
| B | A* | ICDM | International Conference on Data Mining | 2026-06-06 | 2026-08-16 | 2026-11-12 |
| B | A | CIKM | ACM International Conference on Information and Knowledge Management | 2026-05-16 | 2026-08-07 | 2026-11-07 |
| B | A | SDM | SIAM International Conference on Data Mining | 2026-04-10 | 2026-11-19 | |
| B | A | ECML-PKDD | The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases | 2026-03-05 | 2026-05-27 | 2026-09-07 |
| C | B | COMPSAC | International Computer Software and Applications Conference | 2026-01-31 | 2026-04-01 | 2026-07-07 |
关注的期刊
总计7条数据。
| CCF | 全称 | 影响因子 | 出版商 | ISSN |
|---|---|---|---|---|
| B | European Journal of Information Systems | 8.6 | Taylor & Francis | 0960-085X |
| B | Knowledge and Information Systems | 3.1 | Springer | 0219-1377 |
| B | Information Sciences | 6.0 | Elsevier | 0020-0255 |
| B | Data Mining and Knowledge Discovery | 4.3 | Springer | 1384-5810 |
| B | Data & Knowledge Engineering | 2.6 | Elsevier | 0169-023X |
| B | ACM Transactions on Knowledge Discovery from Data | 4.8 | ACM | 1556-4681 |
| A | IEEE Transactions on Knowledge and Data Engineering | 8.9 | IEEE | 1041-4347 |
关注的科研人员
| 姓名 | 科研机构 | 注册时间 | 活跃度 |
|---|---|---|---|
没有找到数据。 | |||