International Journal of Data Mining & Knowledge Management Process (IJDKP) is an academic journal published by AIRCC. (ISSN 2231-007X).
International Journal of Data Mining & Knowledge Management Process (IJDKP)
ISSN: 2230 - 9608[Online]; 2231 - 007X [Print]
https://airccse.org/journal/ijdkp/ijdkp.html
Call for Papers
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
This Journal provides a forum for researchers who address this issue and to present their work in a peer- reviewed open access forum. Authors are solicited to contribute to the workshop by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
Topics of interest include, but are not limited to, the following
Data Mining Foundations
Theoretical Foundations of Data Mining
Scalable, Parallel and Distributed Data Mining
Mining Data Streams and Real Time Analytics
Graph, Network and Heterogeneous Information Network Mining
Graph Neural Networks, Graph Transformers and Dynamic Graph Learning
Spatial, Temporal and Spatio Temporal Data Mining
Text, Video, Audio and Multimedia Mining
Web, Social Media and Hypergraph Mining
Feature Engineering, Data Cleaning and Data Transformation
Data Integration and Fusion
Explainable Data Mining and Model Interpretability
Privacy Preserving Data Mining, Differential Privacy and Federated Learning
Adversarial Machine Learning and Robustness
Interactive Mining, Visualization and Human in the Loop Analytics
Automated Machine Learning (AutoML) and Neural Architecture Search
Optimization Methods for Large Scale Data Mining
Edge, IoT and Resource Constrained Data Mining
Data Centric AI: Data Quality, Weak Supervision and Data Governance
Foundation Models and Large Scale Pretrained Models for Data Mining
Generative AI, Diffusion Models and Synthetic Data Generation
Data Mining Applications
Bioinformatics, Genomics and Computational Biology
Healthcare, Medical Imaging and Clinical Decision Support
Biometrics and Identity Analytics
Financial Modeling, Fraud Detection and Risk Analytics
Time Series Forecasting and Sequential Modeling
Image, Video and Multimodal Analytics
Cybersecurity, Intrusion Detection and Threat Intelligence
Social Network Analysis and Social Computing
Educational Data Mining and Learning Analytics
E commerce, Recommender Systems and Personalization
Smart Cities, Transportation and Urban Computing
Environmental, Climate and Sustainability Analytics
Scientific Machine Learning (Physics, Chemistry, Materials, Climate)
Industrial, Manufacturing and IoT Data Mining
Legal, Policy and Ethical Applications of Data Mining
Human Behavior Modeling, Affective Computing and Behavioral Analytics
Reinforcement Learning for Recommendation, Planning and Optimization
Digital Twins, Simulation Driven Analytics and Synthetic EnvironmentsGeneration
Knowledge Processing
Data and Knowledge Representation
Knowledge Graphs, Semantic Technologies and Knowledge Enhanced ML
Knowledge Discovery Frameworks and Pipelines
Pre and Post Processing in Knowledge Discovery
Causal Inference, Causal Discovery and Counterfactual Reasoning
Predictive Modeling, Evaluation and Model Validation
Probabilistic and Statistical Methods for Knowledge Extraction
Interactive Knowledge Exploration and Visualization
Mining Trends, Emerging Patterns and Risk Analysis
Knowledge Extraction from Noisy, Incomplete, or Low Quality Sources
Hybrid AI Systems Combining Symbolic and Machine Learning Approaches
Reasoning, Inference and Decision Support Systems
Human Centered AI and User Driven Knowledge Discovery
Trustworthy AI: Fairness, Accountability, Transparency and EthicsGeneration
Systems, Infrastructure and Deployment
ML Systems, Data Pipelines and MLOps
Distributed Training and Inference Systems
Hardware Aware Model Design and Acceleration
Scalable Storage, Indexing and Retrieval for Data Mining
Deployment, Monitoring and Lifecycle Management of Data Mining Models
Paper submission
Authors are invited to submit papers for this journal through e-mail ijdkpjournal@yahoo.com or ijdkp@aircconline.com or ijdkpjournal@airccse.org. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
Important Dates
Submission Deadline : June 20, 2026
Notification : July 20, 2026
Final Manuscript Due : July 27, 2026
Publication Date : Determined by the Editor-in-Chief
For other details please visit: https://airccse.org/journal/ijdkp/ijdkp.html
Contact Us:
Here's where you can reach us
ijdkpjournal@yahoo.com or ijdkpjournal@airccse.org or ijdkp@aircconline.com
Submission Link: https://airccse.com/submissioncs/home.html
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