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DEXA 2026: International Conference on Database and Expert Systems Applications

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DEXA
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投稿締切日:
2026-03-15
通知日:
2026-05-15
開催日:
2026-08-11
開催地:
Graz, Austria
開催回数:
37
CCF: C   ICORE: C   QUALIS: B1   閲覧: 48990   フォロー: 77   参加: 22

会伴インデックス (CP-I)

68.1 / 100
全 5,682 件中 第 362 位 · 上位 7%

データマイニング・データベース 分野 337 件中 第 22 位 人工知能・機械学習 分野 739 件中 第 29 位

学術的評価 (35%)
78
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
98
コミュニティの注目度 (10%)
60
公開情報の充実度 (15%)
35

使用した入力: 収録ランク：CCF C, ICORE C, QUALIS B1 · 確認できる開催回数：37 · 会伴でフォローしている研究者：77 人 · 過去 24 か月にこのページを開いた研究者：10 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 80% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-09-14

論文募集

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
最終更新：Dou Sun（）

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