14th International Conference on Artificial Intelligence, Data Mining & Knowledge Management (AIDMK 2026)
Local: Copenhagen, Denmark
Data do evento: 27/06/2026 a 28/06/2026
Prazo de submissão de trabalhos: 06/06/2026
14thInternational Conference on Artificial Intelligence, Data Mining & Knowledge Management (AIDMK 2026)June 27 ~ 28, 2026, Copenhagen, DenmarkHybrid -- Registered authors can present their work online or face to face.Scope & Topics14thInternational Conference on Artificial Intelligence, Data Mining & Knowledge Management (AIDMK 2026)serves as a premier global forum for presenting and discussing the latest innovations, research findings, and emerging trends across the rapidly evolving fields of AI driven data mining and knowledge management. As organizations increasingly rely on intelligent systems to extract insights, automate decision-making, and manage vast volumes of complex data, the need for advanced methodologies and deeper theoretical understanding has never been greater.Authors are invited to contribute high quality research articles, innovative project results, comprehensive surveys, and real world industrial experiences that demonstrate significant advances in data mining, AI driven knowledge discovery, and related domains such as signal processing, image analysis, and pattern recognition. By providing a platform for sharing breakthroughs and practical insights, AIDMK 2026 seeks to advance the state of the art and inspire new directions in intelligent data and knowledge technologies.Topics of interest include, but are not limited to, the followingFoundations of Data Mining, Machine Learning & AIScalable, Parallel, and Distributed Data Mining AlgorithmsMining Data Streams, Real Time Analytics, and Online LearningGraph Mining, Network Science, and Knowledge Graph MiningSpatial, Temporal, and Spatio Temporal Data MiningText, Multimedia, Video, and Multimodal Data MiningWeb Mining, Social Media Mining, and Behavioral AnalyticsFeature Engineering, Data Cleaning, and Pre Processing PipelinesRobust Learning from Noisy, Incomplete, or Low Quality DataExplainable AI (XAI), Interpretable Models, and Transparent MiningPrivacy Preserving Data Mining (DP, MPC, Federated Analytics)Adversarial Machine Learning, Robustness, and Secure Data MiningAdvanced AI & Machine Learning for Knowledge DiscoveryDeep Learning Architectures for Knowledge ExtractionFoundation Models, LLMs, and Multimodal AI for Data MiningRetrieval Augmented Generation (RAG) and LLM Integrated Knowledge DiscoverySelf -Supervised, Weakly Supervised, and Semi Supervised LearningReinforcement Learning, Sequential Decision Making, and Policy LearningCausal Discovery, Causal Inference, and Counterfactual ReasoningAutoML, Neural Architecture Search, and Automated Knowledge DiscoveryGenerative AI, Synthetic Data, and Data AugmentationTrustworthy AI: Fairness, Bias Mitigation, and Responsible Data MiningBig Data Platforms, AI Systems & ScalabilityDistributed Data Processing Frameworks (Spark, Flink, Ray, etc.)High Performance Data Mining on Cloud, Edge, and Hybrid SystemsAI Systems: Training, Serving, and Optimization for Large ModelsData Mining on GPUs, TPUs, and Accelerator Rich ArchitecturesStreaming Systems, Event Driven Pipelines, and Real Time AnalyticsData Lakehouse Architectures and Large Scale Data ManagementScalable ML Systems, MLOps, and End to End AI PipelinesBenchmarking, Performance Evaluation, and Optimization of AI/ML SystemsKnowledge Management, Reasoning & RepresentationKnowledge Representation, Ontologies, and Semantic TechnologiesKnowledge Graph Construction, Completion, Alignment, and ReasoningIntegration of Data Warehousing, OLAP, and Modern Data PlatformsKnowledge Discovery Frameworks, Pipelines, and Process AutomationPre and Post Processing for KDD: Summarization, Explanation, ValidationInteractive Data Exploration, Visualization, and Human in the Loop MiningLanguages, Interfaces, and Tools for Knowledge ManagementMining and Reasoning over Foundation Model OutputsAI Driven Knowledge Management and Enterprise IntelligenceApplications of Data Mining, Knowledge Management & AIBioinformatics, Genomics, and Computational BiologyHealthcare Analytics, Medical AI, and Clinical Decision SupportFinancial Modeling, Fraud Detection, and Risk AnalyticsCybersecurity Analytics and Threat IntelligenceImage, Video, and Sensor Data AnalysisSocial Network Analysis and Community DetectionEducational Data Mining and Learning AnalyticsRecommender Systems, Personalization, and User ModelingSmart Cities, IoT Analytics, and Cyber Physical SystemsEnvironmental, Climate, and Sustainability Data MiningScientific Discovery, Simulation Driven Analytics, and Digital TwinsAI Enhanced Decision Support and Intelligent AutomationEmerging Trends & Future Directions in AI Driven Knowledge DiscoveryFederated Learning, Collaborative Mining, and Edge IntelligenceData Centric AI: Data Quality, Curation, Governance, and LineageResponsible AI: Ethics, Transparency, and Compliance in Data MiningTemporal Knowledge Discovery, Event Forecasting, and Sequence ModelingGraph Neural Networks (GNNs), Graph Transformers, and Dynamic Graph MiningMining Massive Knowledge Bases and Large Scale Foundation ModelsAI for Scientific Discovery and Research AccelerationOpportunities, Risks, and Societal Impact of AI Driven Data MiningPaper SubmissionAuthors are invited to submit papers through the conferenceSubmission SystembyJune 06, 2026 (Final Call). 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 byComputer Science Conference Proceedings(H index 46) inComputer Science & Information Technology (CS & IT)series (Confirmed).Selected papers fromAIDMK 2026, after further revisions, will be published in the special issue of the following journals.International Journal of Database Management Systems (IJDMS)International Journal of Data Mining & Knowledge Management Process (IJDKP)International Journal of Web & Semantic Technology (IJWesT)- IS IndexedInternational Journal of Grid Computing & Applications (IJGCA)Computer Applications: An International Journal (CAIJ)Information Technology in Industry (ITII)Important DatesSubmission Deadline:June 06, 2026 (Final Call)Authors Notification:June 18, 2026Final Manuscript Due:June 22, 2026