International Journal of Data Mining & Knowledge Management Process

IJDKP

URL: https://airccse.org/journal/ijdkp/ijdkp.html
Call For Paper Type: Regular
H2 Index: 0

Data Mining & Analysis Databases & Information Systems

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

The International Journal of Data Mining & Knowledge Management Process (IJDKP) is an open‑access, peer‑reviewed forum dedicated to advancing these rapidly evolving fields. The journal provides a platform for researchers and practitioners to present cutting‑edge developments in data mining, machine learning, knowledge discovery, and intelligent data processing. IJDKP welcomes contributions that explore foundational methods, innovative applications, and emerging technologies that push the boundaries of how knowledge is extracted, represented, and utilized.

Authors are invited to submit original research articles, technical reports, survey papers, and industrial case studies that demonstrate significant advances in data mining and knowledge management. Submissions may address any aspect of the discipline, including, but not limited to, the topics outlined in the journal’s scope. IJDKP aims to foster collaboration between researchers and industry professionals, promote the exchange of ideas, and support the development of next generation tools and methodologies for intelligent data analysis.

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.