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DEXA 2026: International Conference on Database and Expert Systems Applications

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截稿日期:
2026-03-15
通知日期:
2026-05-15
会议日期:
2026-08-11
会议地点:
Graz, Austria
届数:
37
CCF: C   ICORE: C   QUALIS: B1   浏览: 48991   关注: 77   参加: 22

会伴指数 (CP-I)

68.1 / 100
全站第 362 名 / 共 5,682 个会议 · 前 7%

数据挖掘与数据库 第 22 / 337 人工智能与机器学习 第 29 / 739

学术认可 (35%)
78
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
98
社区关注 (10%)
60
资料公开度 (15%)
35

用到的输入: 收录等级：CCF C, ICORE C, QUALIS B1 · 有据可查的届次：37 · 在会伴关注它的研究者：77 人 · 过去 24 个月打开过本页的研究者：10 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 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 80% —— 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 2026-09-14

征稿

DEXA 2026 (International Conference on Database and Expert Systems Applications) is a CCF C / ICORE C / QUALIS B1 conference held in Graz, Austria on 2026-08-11. The paper submission deadline is 2026-03-15. Acceptance notifications are sent on 2026-05-15.

Scope Data engineering and data analytics have been important R&D areas for years, with applications in multiple sectors (e.g., finance, energy, manufacturing, health care, security), but there still exist unsolved research and technological issues. Data engineering techniques are widely applied to store and manage data. New types of highly heterogeneous data of large volumes (referred to as big data) created every second, require a continuous development of new techniques to handle these new types of data. On the one hand, more and more frequently, these techniques need to be supported by Machine Learning (ML) algorithms, commonly called Artificial Intelligence (AI). These algorithms allow to provide solutions for difficult data management problems. Moreover, data science and data analytics rely on AI in the process of discovering dependency patterns, building complex prediction models, and processing natural language. On the other hand, data engineering techniques are indispensable for pre-processing data for AI. Thus, worlds of AI, data engineering, and data analytics are strongly interconnected. Since 1990, DEXA has been an annual international conference which showcases state-of-the-art research activities in databases, data integration, advanced data anlytics, and knowledge systems. With the recent advances of big data and ML/AI DEXA covers these broad topics as well, to provide a forum to present research results and to examine advanced applications in the field. The conference and its associated workshops offer an opportunity for developers, scientists, and users to extensively discuss requirements, problems, and solutions in standard and just emerging research and technological topics on data and knowledge management. Topics of Interest DEXA 2026 invites submissions of original research papers as well as experience and survey papers on all topics related to database, information, and knowledge systems including, but not limited to: Data mesh, data fabric, and data spaces Data privacy and security Cloud data management Data quality assurance, monitoring, and management Data governance techniques and architectures Data integration and interoperability Big data storage and search Data as a Service (DaaS) technologies Connectors as a Service (CaaS) technologies Data pipeline automation Data modeling Standard and non-standard databases Distributed ledger technologies Real-time data processing Descriptive, predictive, and prescriptive analytics on standard and big data Artificial Intelligence (AI) for data management AI for data engineering Data engineering for AI Large Language Models for data engineering AI model governance AutoML/AI solutions Machine Learning Operations (MLOps) AI powered data analytics Integrating LLMs with external data sources Text analytics Graph management and analytics Quantum technologies for data engineering and analytics
由 Dou Sun 最后更新于

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