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AIxDKE 2027: Artificial Intelligence x Data & Knowledge Engineering

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AIxDKE
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截稿日期:
2026-10-10 还有 11 天
通知日期:
2026-12-01
会议日期:
2027-02-01
会议地点:
Laguna Hills, California, USA
届数:
浏览: 17123   关注: 3   参加: 0

会伴指数 (CP-I)

42.3 / 100
全站第 4,118 名 / 共 5,687 个会议 · 前 73%

人工智能与机器学习 第 531 / 741

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
19
社区关注 (10%)
28
资料公开度 (15%)
55

用到的输入: 有据可查的届次：1 · 在会伴关注它的研究者：3 人 · 过去 24 个月打开过本页的研究者：6 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-29

征稿

AIxDKE 2027 (Artificial Intelligence x Data & Knowledge Engineering) is an academic conference held in Laguna Hills, California, USA on 2027-02-01. The paper submission deadline is 2026-10-10. Acceptance notifications are sent on 2026-12-01.

Artificial Intelligence (AI) is concerned with computing technologies that allow machines to see, hear, talk, think, learn, and solve problems. The huge potential of applying AI to problem-solving represents an exciting future in business objectives that can be achieved much more effectively. In addition, business-business, business-customer, and customer-customer may be interconnected in a revolutionary way to stimulate a tremendous amount of interesting activities. A core of AI is Data and Knowledge Engineering which address the acquisition, understanding, description, storage, integration, processing, control, and use of data and knowledge, among others. With the recent advances of AI, including ChatGPT, we think it is the right time to address the broader impacts of AI on Data & Knowledge Engineering and vice versa.​ Artificial Intelligence x Data & Knowledge Engineering (AIxDKE), technically sponsored by the IEEE Computer Society, is an international forum for academia and industries to exchange visions and ideas in the state of the art and practice, as well as to identify the emerging topics and define the synergy between the research in AI and DKE in general. TOPICS OF INTEREST​​ include all aspects of DKE whose solutions may be assisted by AI, such as:​ Data modeling Database design Query processing and optimization Transaction management Crash recovery Integrity control Storage system Security Data integration Decision making Knowledge management Knowledge understanding and modelling Knowledge discovery Knowledge integration AI Technologies that may be advanced by DKE applications, such as: Generative AI Transformer based technology Agent technology Semantic computing Machine learning Symbolic AI including Knowledge and data engineering, planning Problem solving Multi-modal interactions Distinguished quality papers presented at the conference will be selected for the best paper/poster awards and for publication in internationally renowned journals.
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相关期刊

CCF全称影响因子出版商ISSN
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
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CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536
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