International Journal of Data Mining & Knowledge Management Process (IJDKP)

Citations, h-index, i10-index of IJDKP

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 Email: ijdkpjournal@airccse.org or through Submission System. 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	:	February 08, 2026
Authors Notification	:	March 07, 2026
Final Manuscript Due	:	March 14, 2026
Publication Date	:	Determined by the Editor-in-Chief

Related Journal

International Journal of Database Management Systems ( IJDMS )

Current Issue




November 2025, Volume 15, Number 5/6

A Comparative Analysis of Link-based Algorithms for Effective Web Structure Mining Full Text
V Indumathi, RVS College of Arts and Science, India

July 2025, Volume 15, Number 4

Some Patterns of Sleep Quality and Daylight Savings Time Across Countries: A Predictive and Exploratory Analysis Full Text
Bhanu Sharma¹ and Eugene Pinsky², ¹ Northeastern University, USA,² Boston University, USA

May 2025, Volume 15, Number 3

Beyond Winners and Losers: Median Sector Rotation in the Japanese Equity Market Full Text
Sreeya Kotrakona, Natasya Liew and Eugene Pinsky, Boston University Metropolitan College, USA


Transforming Customer Experience through NLP and Sentiment Analysis Full Text
Paras Doshi¹ ,Phani Chilakapati² ,Ridhi Deora ³ ,and Anant Agarwal ⁴ , ¹ Opendoor, USA,²Industrial Scientific, USA ,³Home Depot, USA,⁴Petco, USA


March 2025, Volume 15, Number 2

Exploring the Aspect Ratios of World Currencies: Mining the Numismatics Catalog Full Text
Tharunya Katiki reddy, Urja Damodhar and Eugene Pinsky, Boston University, USA

Mining the Authors Catalog of the Russian Academy of Sciences: Some Statistics on Leonhard Euler’s Publications Full Text
Deepali Chawla, Nidhi Desai, Goutham Sekharamantri and Eugene Pinsky, Boston University, USA

Data Mining for Benford’s Law in Ancient Roman Coins Full Text
Akhilesh Warty and Eugene Pinsky, Boston University, USA

Data Mining and Analysis of Early Modern European Enlightenment Trends in Acta Eruditorum Full Text
Aadi Singh¹ and Eugene Pinsky² , ¹ Virginia Polytechnic Institute and State University, USA,² Boston University, USA

Optimizing Sector Index Rotation and Rebalancing Frequency with Data Mining: A Case Study on Indian National Stock Exchange Full Text
Tanvi Sharma, Akarsh Srivastava and Eugene Pinsky, Boston University, USA

Advancing Polyglot Big Data Processing using the Hadoop Ecosystem Full Text
Antony Seabra and Sergio Lifschitz, PUC-Rio, Brazil

AI-Powered Data Management and Governance in Retail Full Text
Anant Agarwal, Manager Master Data Management (MDM) & Data Governance, USA


January 2025, Volume 15, Number 1

Mining Actionable Patterns in Bigdata for Enhanced Human Emotions Full Text
Sanchari Chatterjee¹ and Angelina Tzacheva²,¹University of North Carolina, USA, ²West Cliff University, USA

November 2024, Volume 14, Number 3/4/5/6

The Role of Machine Learning in Enhancing Personalized Online Learning Experiences Full Text
Anilkumar Jangili¹, Sivakumar Ramakrishnan²,¹Statistical Programming and Research & Development, USA ²Statistical Programming, Innovation & AI, USA

March 2024, Volume 15, Number 1/2

Proactive Wildfire Detection and Management using AI, ML, and 5G Technology in the United States Full Text
Okoro C. Stanley, Lopez Alexander and Unuriode O. Austine, Austin Peay State University, USA,


Discovery of Actionable Patterns Through Scalable Vertical Data Split Method with Meta Actions and Information Granules Full Text
Angelina A. Tzacheva¹, Sanchari Chatterjee² and Zbigniew W. Ras², ¹West Cliff University, USA, ²


September 2023, Volume 13, Number 4/5


When Should They Buy? Surviving Machine Learning Models for Purchase Timing Full Text
Diego Vallarino, Independent Researcher, Spain

May 2023, Volume 13, Number 3

Heart Disease Prediction using Machine Learning and Deep Learning Full Text
Dinesh Kalla and Arvind Chandrasekaran, Colorado Technical University, USA




March 2023, Volume 13, Number 1/2

The Stock Market Volatility between China and Asean Countries Association Studies based on Complex Networks Full Text
Wangke Yu, Shuhua Liu, Ruoqi Pan, Ke Huang, Linyun Deng, Nanning University, China




March 2023, Volume 13, Number 1/2

Class Imbalance Handling Techniques used in Depression Prediction and Detection Full Text
Simisani Ndaba, University of Botswana, Botswana




March 2023, Volume 13, Number 1/2

Demand Forecasting of a Perishable Dairy Drink: An ARIMA Approach Full Text
T. Musora, Z. Chazuka, A. Jaison, J. Mapurisa, and J. Kamusha, Chinhoyi University of Technology, Zimbabwe




November 2022, Volume 12, Number 5/6

Linking Early Detection/Treatment of Parkinson’s Disease using Deep Learning Techniques Full Text
Sarah Fan¹ and Yu Sun², ¹USA, ²California State Polytechnic University, USA




July 2022, Volume 12, Number 4

Data integration in a Hadoop-based data lake: A bioinformatics case Full Text
Julia Colleoni Couto, Olimar Teixeira Borges and Duncan Dubugras Ruiz, PUCRS University, Brazil




Analyzing the Effects of Different Policies and Strictness Levels on Monthly Corona Virus Case Increase Rates using Machine Learning and Big Data Analysis Full Text
Charline Chen¹ and Yu Sun², ¹USA, ²California State Polytechnic University, USA




May 2022, Volume 12, Number 3

Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach Full Text
Hieu Le¹, Taufiq Daryanto², Fabian Zhafransyah², Derry Wijaya¹, Elizabeth Coppock¹ and Sang Chin¹,¹Boston University, USA, ²Institut Teknologi Bandung, Indonesia


Enabling Supply Chains by Adopting Blockchain Technology Full Text
Atul Anand1, A Seetharaman2 and K Maddulety1, 1SP Jain School of Global Management- Mumbai, India,
2SP Jain School of Global Management- Singapore

March 2022, Volume 12, Number 2

Mining Techniques for Streaming Data Full Text
ManaL Mansour and Manal Abdullah, King Abdulaziz University, Saudi Arabia


January 2022, Volume 12, Number 1

Process Engineering and AI Sales Prediction: The Case Study of an Italian Small Textile Company Full Text
Nicola Magaletti¹, Gabriele Cosoli¹, Angelo Leogrande1 and Alessandro Massaro^{1,2,*, 1}LUM Enterprise sr^l, Italy, ²LUM - Libera Università Mediterranea "Giuseppe Degennaro", Italy


November 2021, Volume 11, Number 6

Review of Machine Learning Applications and Datasets in Classification of Acute Leukemia  Full Text
Jaishree Ranganathan, Middle Tennessee State University, USA


September 2021, Volume 11, Number 5

An Experimental Evaluation of Similarity-Based and Embedding-Based Link Prediction Methods on Graphs  Full Text
Md Kamrul Islam, Sabeur Aridhi and Malika Smail-Tabbone, Universite de Lorraine, France


The 5 Dimensions of Problem Solving using Dinna: Case Study in the Electronics Industry  Full Text
Mohammed Hamoumi, Abdellah Haddout and Mariam Benhadou, Hassan II University, Morocco


July 2021, Volume 11, Number 2/3/4

Semantics Graph Mining for Topic Discovery and Word Associations  Full Text
Alex Romanova, Melenar, LLC, McLean, VA, USA

Petrochemical Production Big Data and its Four Typical Application Paradigms  Full Text
Hu Shaolin, Zhang Qinghua, Su Naiquan and Li Xiwu, Guangdong University of Petrochemical Technology, China


January 2021, Volume 11, Number 1

Apply Machine Learning Methods to Predict Failure of Glaucoma Drainage  Full Text
Jiali Tang, Jack Wang and Ahmad Reza Hadaegh, California State University San Marcos, USA

Partitioning Wide Area Graphs Using a Space Filling Curve  Full Text
Cyprien Gottstein¹, Philippe Raipin Parvedy¹, Michel Hurfin², Thomas Hassan¹ and Thierry Coupaye¹, ¹TGI-OLS-DIESE-LCP-DDSD, Orange Labs, France, ²Univ Rennes, INRIA, France

A Comprehensive Analysis of Quantum Clustering : Finding All the Potential Minima  Full Text
Aude Maignan¹ and Tony Scott², ¹Univ. Grenoble Alpes, CNRS, France, ²RWTH-Aachen University, Germany

Editor In Chief

• Natasa Zivic, University of Siegen,Germany

Editorial Board Members

• Daniel A.K, M.M.M University of Technology, India
• Krishna Prasad A.V, MVSR Engineering College, India
• Abdelmonaime Lachkar, University Sidi Mohamed Ben Abdellah, Morocco
• Akhil Garg, Nanyang Technological University (NTU), Singapore
• Akira Otsuki, Tokyo Institute of Technology, Japan
• Ali Azimi, Ferdowsi University of Mashhad, Iran

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