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Category Visualization, Security and Information Hiding in Data Mining;
Deadline: March 07, 2026 | Date: June 20, 2026-June 21, 2026
Venue/Country: Sydney, Australia, Australia
Updated: 2026-03-02 19:01:05 (GMT+9)
SCOPEThe 15th International Conference on Data Mining & Knowledge Management Process (CDKP 2026) serves as a premier forum for researchers, practitioners, and industry experts to explore the evolving landscape of data driven discovery and intelligent knowledge management. As data continues to grow in scale, complexity, and strategic importance, the need for innovative methods to extract meaningful insights and support informed decision making has never been greater. CDKP 2026 brings together a global community of scholars to address these challenges and to share cutting edge advancements shaping the future of the field.The conference provides a rigorous, peer reviewed platform for presenting original research, real world applications, case studies, and survey contributions that advance the state of the art in data mining and knowledge management. Authors are invited to submit high quality articles that highlight significant results, novel methodologies, emerging trends, and practical experiences across a wide range of related domains. Submissions may address, but are not limited to, the following areas:Topics of interestFoundations of Data Mining and Knowledge DiscoveryTheoretical Foundations of Data MiningStatistical Learning, Probabilistic Modeling and Causal InferencePattern Discovery, Frequent Itemsets and Association RulesData and Knowledge RepresentationAutomated Knowledge Discovery Pipelines and FrameworksMachine Learning, Deep Learning and Generative ModelsSupervised, Unsupervised and Semi Supervised LearningDeep Learning Architectures and OptimizationFoundation Models and Generative AI (LLMs, Diffusion Models, Multimodal Models)Representation Learning, Embeddings and Metric LearningTransfer Learning, Domain Adaptation and Few Shot LearningBig Data, Distributed and Scalable AnalyticsDistributed, Parallel and Cloud Native Data MiningReal Time Analytics and Data Stream MiningHigh Performance Data Mining AlgorithmsFederated Learning, Edge Analytics and Privacy Preserving MLData Mining Systems, Infrastructure and GPU/TPU AccelerationText, Web, Social and Multimodal MiningText Mining, NLP and Large Language ModelsWeb Mining, Web Behavior Analytics and Clickstream MiningSocial Network Analysis, Influence Modeling and Community DetectionMultimedia Mining (Image, Video, Audio, Multimodal Fusion)Information Retrieval, Ranking and Search Based MiningGraph, Spatial, Temporal and Complex Data MiningGraph Mining, Graph Neural Networks (GNNs) and Network EmbeddingsSpatial, Spatio Temporal and Mobility Data MiningTime Series Analysis, Forecasting and Anomaly DetectionMining Heterogeneous, High Dimensional and Low Quality DataIoT, Sensor and Cyber Physical Data AnalyticsData Quality, Preprocessing and Data Centric AIData Cleaning, Noise Reduction and Missing Data HandlingFeature Engineering, Feature Selection and Dimensionality ReductionData Centric AI (data selection, augmentation, labeling, weak supervision)Data Integration, Warehousing, ETL and Lakehouse ArchitecturesInteractive Data Exploration, Visualization and Human in the Loop AnalyticsExplainability, Fairness, Ethics and Trustworthy Data MiningExplainable AI (XAI) and Interpretable ModelsFairness, Bias Detection and Responsible Data SciencePrivacy Preserving Data Mining (Differential Privacy, Secure Computation)Adversarial Attacks, Robustness and Security in Data MiningData Governance, Lineage, Compliance and AuditabilityKnowledge Management, Reasoning and Decision SupportKnowledge Processing, Reasoning and InferenceKnowledge Graphs, Ontologies and Semantic TechnologiesDecision Support Systems and Predictive AnalyticsConsolidation, Evaluation and Explanation of Discovered KnowledgeHuman AI Collaboration in Data Analysis and Decision MakingRecommender Systems and PersonalizationCollaborative Filtering and Matrix FactorizationSequential, Context Aware and Deep Learning Based RecommendationLLM Enhanced Recommendation and Retrieval Augmented SystemsFairness, Robustness and Evaluation in Recommender SystemsApplications in E commerce, Media, Education and Social PlatformsSynthetic Data, Simulation and Data GenerationSynthetic Tabular, Time Series and Multimodal Data GenerationSimulation Based Data MiningPrivacy Preserving Synthetic DataData Augmentation for ML and Data MiningEvaluation of Synthetic Data QualityApplications of Data MiningBioinformatics, Computational Biology and Healthcare AnalyticsFinancial Modeling, Fraud Detection and Risk AnalyticsEducational Data Mining and Learning AnalyticsMarketing, E commerce and Customer Behavior ModelingSmart Cities, Transportation, Climate and Environmental AnalyticsPaper SubmissionAuthors are invited to submit papers through the conference Submission System by March 07, 2026. Submissions must be original and should not have been published previously or be under consideration for publiAuthors are invited to submit papers through the conference Submission System by March 07, 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 (H index 46) in Computer Science & Information Technology (CS & IT) series (Confirmed).Selected papers presented at CDKP 2026, following an additional round of revisions, will be considered for publication in special issues of the following journalsInternational Journal of Database Management Systems (IJDMS)International Journal of Data Mining & Knowledge Management Process (IJDKP)International Journal of Grid Computing & Applications (IJGCA)Information Technology in Industry (ITII)Important DatesSubmission Deadline : March 07, 2026Authors Notification : April 04, 2026Registration & Camera-Ready Paper Due : April 11, 2026Contact UsHere’s where you can reach us :cdkp
cdkp2026.org (or) cdkpconff
yahoo.comKeywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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