4th International Conference on Soft Computing, Data mining and Data Science (SCDD 2026)

Memo

4th International Conference on Soft Computing, Data mining and Data Science (SCDD 2026) May 30 ~ 31, 2026, Virtual Conference https://scdd2026.org/index Scope 4th International Conference on Soft Computing, Data mining and Data Science (SCDD 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Soft Computing, Data mining, and Data Science. The Conference looks for significant contributions to all major fields of the Soft Computing, Data mining, and Data Science in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Topics of interest include, but are not limited to, the following Foundations of Soft Computing Soft Computing Theory and Hybrid Soft Computing Models Fuzzy Logic, Fuzzy Systems and Neuro Fuzzy Models Rough Sets, Soft Sets and Granular Computing Probabilistic Reasoning and Uncertainty Modeling Evolutionary Computing and Genetic Algorithms Swarm Intelligence and Collective Intelligence Nature Inspired and Bio Inspired Computing Artificial Immune Systems Multi Agent Systems and Distributed Intelligent Systems Reactive Distributed AI and Autonomous Agents Hybrid Intelligent Systems and Cognitive ComputingEmerging Soft Computing Themes Explainable Soft Computing and Interpretable Intelligent Systems Soft Computing for Optimization and Decision Support Soft Computing for Robotics, CPS and Autonomous Systems Soft Computing for Edge/Embedded Intelligence Soft Computing for Sustainable and Green AIMachine Learning, Deep Learning and Advanced AICore Machine Learning Supervised, Unsupervised and Semi Supervised Learning Reinforcement Learning and Multi Agent RL Transfer Learning, Meta Learning and Continual Learning Learning from Noisy, Imbalanced and Low Quality Data Online Learning, Streaming ML and Adaptive Models Feature Engineering, Feature Selection and Dimensionality ReductionDeep Learning and Foundation ModelsDeep Neural Networks, CNNs, RNNs, Transformers Foundation Models and Large Language Models (LLMs) Retrieval Augmented Generation (RAG) Multimodal AI (Vision + Text + Audio + Sensors) Vision Language Models (VLMs) and Vision Language Action (VLA) Models Generative AI: GANs, Diffusion Models and Synthetic Data Graph Neural Networks and Graph Foundation Models Self Supervised and Contrastive Learning Efficient ML: Pruning, Quantization, Distillation, TinyMLAdvanced AI ParadigmsAgentic AI and Autonomous AI Systems Program Synthesis, Code LLMs and AI for Software Engineering Causal Machine Learning and Causal Discovery Neuro Symbolic AI and Hybrid Reasoning Automated Machine Learning (AutoML) and Neural Architecture Search AI for Scientific Discovery and Computational Science Embodied AI and Robot LearningResponsible and Trustworthy AIExplainable AI (XAI) and Model Interpretability Fairness, Accountability, Transparency and Ethics in AI Adversarial ML, Robustness and Safety Privacy Preserving ML (DP, FL, MPC) AI Governance, Regulation and Alignment LLM Safety, Hallucination Mitigation and EvaluationData Mining, Knowledge Discovery and Big Data AnalyticsFoundations of Data Mining Classification, Regression, Clustering and Association RulesOutlier Detection, Anomaly Detection and Novelty Discovery Pattern Recognition and Statistical Learning Data Pre Processing, Cleaning and Transformation Knowledge Representation, Reasoning and InferenceAdvanced Data Mining TechniquesGraph Mining, Network Mining and Temporal Graph Learning Spatial, Temporal and Spatio Temporal Data Mining Data Stream Mining and Real Time Analytics High Dimensional Data Mining and Feature Selection Mining from Noisy, Incomplete and Low Quality Data Concept Drift, Evolving Data and Dynamic Models Causal Discovery and Causal Representation LearningBig Data and Scalable AnalyticsBig Data Frameworks, Architectures and Pipelines Distributed and Parallel Data Mining Algorithms Cloud Native Data Processing and Serverless Analytics Big Data Search, Indexing and Retrieval Big Data Security, Privacy and Governance Data Lakes, Lakehouse Architectures and Data WarehousingKnowledge Discovery and KDD ProcessKnowledge Discovery Frameworks and Pipelines Pre and Post Processing in KDD Interactive Data Exploration and Visual Analytics Integrating Constraints and Domain Knowledge in KDD Causal Inference, Predictive Modeling and Knowledge ConsolidationData Science, Applications and Modern Data EcosystemsData Science Foundations Data Science Methodologies and Best Practices Statistical Modeling, Forecasting and Time Series Analysis Time Series Foundation Models and Spatio Temporal Forecasting Information Retrieval, Neural IR and Search Systems Data Visualization and Visual Data MiningDomain Specific Data ScienceHealthcare and Biomedical Data Science Educational Data Mining and Learning Analytics Disaster Prediction, Climate Analytics and Environmental Data Science Financial Data Science, Risk Analytics and Fraud Detection Industrial Data Science and Smart ManufacturingModern Data EcosystemsData Engineering, Pipelines and MLOps Data Versioning, Lineage and Data Observability Data Quality Engineering and Data Reliability Graph Databases, Knowledge Graphs and Semantic Data Systems IoT Data Analytics and Sensor Data Processing Text, Video, Multimedia and Web Mining Social Media Analytics and Behavioral Data ScienceEmerging Data Science TrendsData Centric AI and Data Quality Optimization Synthetic Data Ecosystems and Evaluation Human in the Loop Data Science Responsible Data Science and Ethical Data Practices Vector Databases, Embedding Stores and Retrieval Systems Privacy Preserving Data Systems and Secure Data Collaboration   Paper Submission Authors are invited to submit papers through the conference Submission System by May 16, 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 by International Journal on Cybernetics & Informatics (IJCI) (Confirmed). Accepted papers will be given guidelines in preparing and submitting the final manuscript(s) together with the notification of acceptance. International Journal of Database Management Systems (IJDMS) International Journal on Soft Computing (IJSC) International Journal of Data Mining & Knowledge Management Process (IJDKP) International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) International Journal of UbiComp (IJU) Important Dates Second Batch : Submissions after April 21, 2026 Submission Deadline; May 16, 2026 (Final Call) Authors Notification; May21, 2026 Registration & camera – Ready Paper Due; May25, 2026 Contact Us Here’s where you can reach us : This email address is being protected from spambots. You need JavaScript enabled to view it. (or) This email address is being protected from spambots. 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