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Website https://www.ccnet2026.org/dbdm/index |
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Category Computer Science:Data Mining,Intelligent Systems
Deadline: January 17, 2026 | Date: March 21, 2026-March 22, 2026
Venue/Country: Sydney, Australia, Australia
Updated: 2026-01-12 16:16:50 (GMT+9)
Scope & Topics14th International Conference on Database and Data Mining (DBDM 2026) provides a premier forum for researchers, practitioners, and industry experts to present and discuss the latest innovations, trends, results, and challenges across databases, data mining, and AI driven intelligent systems. The conference aims to foster collaboration and knowledge exchange through high quality, peer reviewed research contributions.DBDM 2026 encourages submissions in all areas related to databases, data mining, machine learning, and AI driven intelligent systems. Topics include, but are not limited to:Topics of interest include, but are not limited to, the following:Cloud, Distributed, and Parallel DatabasesBig Data Platforms and Data Lake ArchitecturesQuery Processing, Optimization, and IndexingTransaction Processing and Concurrency ControlData Cleaning, Integration, and PreparationData Quality, Provenance, and GovernanceHigh Dimensional, Temporal, and Spatial DatabasesMulti Model Databases (Graph, Document, Key Value, Time Series)Data Streams and Real Time Data ManagementFederated and Heterogeneous DatabasesStorage Engines, Column Stores, and Log Structured SystemsMetadata, Schema, and Catalog ManagementData Mining Foundations and AlgorithmsDeep Learning for Data Mining and Pattern DiscoveryGraph Mining, Network Analysis, and Knowledge GraphsAnomaly, Fraud, and Outlier DetectionFeature Engineering, Representation Learning, and EmbeddingsScalable and Distributed Data MiningAutoML and Automated Knowledge DiscoveryData Warehousing, OLAP, and Analytical ProcessingData Mining Applications (Healthcare, Finance, IoT, Cybersecurity, etc.)Explainable Data Mining and Responsible AIAI for Big Data AnalyticsFoundation Models and Large Scale Pretrained ModelsGenerative AI for Data Mining and DatabasesAI Driven Query Optimization and Self Tuning DatabasesIntelligent Information SystemsMulti Agent Systems and Intelligent Decision SupportExpert Systems and Knowledge Based SystemsReinforcement Learning for Data ManagementHuman AI Interaction and Interactive AIAI for Data Privacy, Security, and TrustData Science Workflows and PipelinesData Engineering for AI SystemsEdge, Fog, and IoT Data ManagementBlockchain Data Management and AnalyticsSmart Cities, Smart Grids, and Sensor Data SystemsWeb, Social Media, and Multimedia Data MiningSemantic Web, Ontologies, and Knowledge RepresentationE Commerce, E Government, and Digital Business AnalyticsPrivacy Preserving Data Mining (PPDM)Secure Data Sharing and Federated LearningAdversarial Machine LearningEthical AI, Fairness, and Bias MitigationTrust, Privacy, and Security in Digital BusinessCompliance, Governance, and Responsible Data UsePaper SubmissionAuthors are invited to submit papers through the conference Submission System by January 17, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).Selected papers from DBDM 2026, after further revisions, will be published in the special issues of the following journalsInformation Technology in Industry (ITII)International Journal of Database Management Systems (IJDMS)International Journal of Data Mining & Knowledge Management Process ( IJDKP)International Journal of Web & Semantic Technology (IJWesT) – IS IndexedImportant DatesSubmission Deadline : January 17, 2026Authors Notification : February 10, 2026Registration & Camera-Ready Paper Due : February 17, 2026Contact UsHere’s where you can reach us : dbdm
ccnet2026.org or confdbdm
yahoo.comKeywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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