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    CDKP 2026 - 15th International Conference on Data Mining & Knowledge Management Process (CDKP 2026)

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    Website https://cdkp2026.org/index | Want to Edit it Edit Freely

    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)

    Call For Papers - CFP

    15th International Conference on Data Mining & Knowledge Management Process (CDKP 2026)

    June 20 ~ 21, 2026, Sydney, Australia

    https://cdkp2026.org/index

    SCOPE

    The 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 interest

    Foundations of Data Mining and Knowledge Discovery

    Theoretical Foundations of Data Mining

    Statistical Learning, Probabilistic Modeling and Causal Inference

    Pattern Discovery, Frequent Itemsets and Association Rules

    Data and Knowledge Representation

    Automated Knowledge Discovery Pipelines and Frameworks

    Machine Learning, Deep Learning and Generative Models

    Supervised, Unsupervised and Semi Supervised Learning

    Deep Learning Architectures and Optimization

    Foundation Models and Generative AI (LLMs, Diffusion Models, Multimodal Models)

    Representation Learning, Embeddings and Metric Learning

    Transfer Learning, Domain Adaptation and Few Shot Learning

    Big Data, Distributed and Scalable Analytics

    Distributed, Parallel and Cloud Native Data Mining

    Real Time Analytics and Data Stream Mining

    High Performance Data Mining Algorithms

    Federated Learning, Edge Analytics and Privacy Preserving ML

    Data Mining Systems, Infrastructure and GPU/TPU Acceleration

    Text, Web, Social and Multimodal Mining

    Text Mining, NLP and Large Language Models

    Web Mining, Web Behavior Analytics and Clickstream Mining

    Social Network Analysis, Influence Modeling and Community Detection

    Multimedia Mining (Image, Video, Audio, Multimodal Fusion)

    Information Retrieval, Ranking and Search Based Mining

    Graph, Spatial, Temporal and Complex Data Mining

    Graph Mining, Graph Neural Networks (GNNs) and Network Embeddings

    Spatial, Spatio Temporal and Mobility Data Mining

    Time Series Analysis, Forecasting and Anomaly Detection

    Mining Heterogeneous, High Dimensional and Low Quality Data

    IoT, Sensor and Cyber Physical Data Analytics

    Data Quality, Preprocessing and Data Centric AI

    Data Cleaning, Noise Reduction and Missing Data Handling

    Feature Engineering, Feature Selection and Dimensionality Reduction

    Data Centric AI (data selection, augmentation, labeling, weak supervision)

    Data Integration, Warehousing, ETL and Lakehouse Architectures

    Interactive Data Exploration, Visualization and Human in the Loop Analytics

    Explainability, Fairness, Ethics and Trustworthy Data Mining

    Explainable AI (XAI) and Interpretable Models

    Fairness, Bias Detection and Responsible Data Science

    Privacy Preserving Data Mining (Differential Privacy, Secure Computation)

    Adversarial Attacks, Robustness and Security in Data Mining

    Data Governance, Lineage, Compliance and Auditability

    Knowledge Management, Reasoning and Decision Support

    Knowledge Processing, Reasoning and Inference

    Knowledge Graphs, Ontologies and Semantic Technologies

    Decision Support Systems and Predictive Analytics

    Consolidation, Evaluation and Explanation of Discovered Knowledge

    Human AI Collaboration in Data Analysis and Decision Making

    Recommender Systems and Personalization

    Collaborative Filtering and Matrix Factorization

    Sequential, Context Aware and Deep Learning Based Recommendation

    LLM Enhanced Recommendation and Retrieval Augmented Systems

    Fairness, Robustness and Evaluation in Recommender Systems

    Applications in E commerce, Media, Education and Social Platforms

    Synthetic Data, Simulation and Data Generation

    Synthetic Tabular, Time Series and Multimodal Data Generation

    Simulation Based Data Mining

    Privacy Preserving Synthetic Data

    Data Augmentation for ML and Data Mining

    Evaluation of Synthetic Data Quality

    Applications of Data Mining

    Bioinformatics, Computational Biology and Healthcare Analytics

    Financial Modeling, Fraud Detection and Risk Analytics

    Educational Data Mining and Learning Analytics

    Marketing, E commerce and Customer Behavior Modeling

    Smart Cities, Transportation, Climate and Environmental Analytics

    Paper Submission

    Authors 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 journals

    International 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 Dates

    Submission Deadline : March 07, 2026

    Authors Notification : April 04, 2026

    Registration & Camera-Ready Paper Due : April 11, 2026

    Contact Us

    Here’s where you can reach us :cdkpatcdkp2026.org (or) cdkpconffatyahoo.com


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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