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ICBTDS 2025: International conference on AI-Driven Business Transformation and Data Science Innovation

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投稿締切日:
2025-10-10
通知日:
2025-10-15
開催日:
2025-11-14
開催地:
Bandung, Indonesia
閲覧: 2962   フォロー: 0   参加: 0

論文募集

ICBTDS 2025 (International conference on AI-Driven Business Transformation and Data Science Innovation) is an academic conference held in Bandung, Indonesia on 2025-11-14. The paper submission deadline is 2025-10-10. Acceptance notifications are sent on 2025-10-15.

2025 International conference on AI-Driven Business Transformation and Data Science Innovation (ICBTDS 2025) will bring together leading researchers, engineers and scientists in the domain of interest from around the world. The topics of interest for submission include, but are not limited to: Track 1: Application of Artificial Intelligence in Business Process Optimization Generative AI AI Strategy and Governance System Intelligent Operations Intelligent Audit System Customer Relationship Management Supply Chain Management Deep Learning and Autonomous Decision-making Multimodal Interaction Track 2: Data Science and Technological Innovation Data-driven Decision-making Real-time Data Processing Technology Risk Analysis Intelligent Decision-making Natural Language Processing Object Modeling Multimedia Database Recommendation System Multimodal Data Management Data warehousing and mining Track 3: Digital Transformation and Strategic Innovation Fintech Internet of Things Edge Computing Smart City Sentiment Analysis Explainable AI Digital Twin
最終更新：Dou Sun（）

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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
AArtificial Intelligence4.6Elsevier0004-3702
Information Systems and e-Business Management3.6Springer1617-9846
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 Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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