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International Journal of Data Analysis Techniques and Strategies, Volume 17
Volume 17, Number 1, 2025
- Ali Irfan, Irfan Saleem:
Machine Learning Made Easy A Beginner's Guide for Causal Inference and Discovery Methods using Python. - Moses T. Ukeyima, Gabriel S. Iorundu, Donald Douglas Atsa'am:
Nutritional Cluster Analysis of Leguminous Food Sources Across West Africa. - Priya Pise, Deepak Gupta, Atul Kumar, Rashmi Pandey, Sanjaykumar P. Pingat, Satish N. Gujar, Ashish Gupta:
Brain Tumour Detection and Multi Classification Using GNB-Based Machine Learning Architecture. - Mohammad Atique Junaid, Jyoti Deone, Nilima Dongre:
Prediction of Success Factors for Mobile Application using Machine Learning Technique. - Ding Ding, Wenting Liu, Jing Ren, Yimiao Zhang:
Application of Text Mining Analysis in Understanding GameFi Adoption. - Yimiao Zhang, Jing Ren, Wenting Liu, N. A. Ding:
Application of text mining analysis in understanding GameFi adoption. 1-19 - Satish N. Gujar, Ashish Gupta, Sanjay Kumar P. Pingat, Rashmi Pandey, Atul Kumar, Deepak Gupta, Priya Pise:
Brain tumour detection and multi classification using GNB-based machine learning architecture. 20-35 - Irfan Saleem, Ali Irfan:
Machine learning made easy: a beginner's guide for causal inference and discovery methods using Python. 36-53 - Jyoti Deone, Nilima Dongre, Mohammad Atique:
Prediction of success factors for mobile application using machine learning technique. 54-64 - Donald Douglas Atsa'am, Gabriel Shimasaan Iorundu, Moses Terkula Ukeyima:
Nutritional cluster analysis of leguminous food sources across West Africa. 65-75
Volume 17, Number 2, 2025
- Richa Singh, Utkarsh Agrawal, Vaibhav Aggarwal, Yash Rastogi, Saransh Chauhan, Rohit Rastogi:
Prediction Model for AQI through Indian Vedic Science: Knowledge Management Technique to Control Pollution and for Sustainable Society. - Surafel Luleseged Tilahun, Semeneh Hunachew Bayih:
Adaptive Parking Demand Prediction Using Discrete Time Based Dynamic Markov Chain. - A. Anushya, Savita Shiwani, Ayush Shrivastava:
Jasminum Grandiflorum Flower Images Classification: Deep Learning and Transfer Learning Models with the Influence of Preprocessing via Contours and Convex Hull in Agritech 4.0. - Shyam Ramesh, Sushmitha Srikanth, G. Umarani Srikanth, Lijetha. C. Jaffrin:
Tackling Data Sparsity: A Hybrid Filtering Paradigm for Robust Recommender Systems. - Bijay Paikaray, Satyajit Pattnaik, Jayanta Mondal, Jitendra Pramanik:
Using the BIRCH Algorithm and Affinity Propagation, an Advanced Descriptor for Video Processing.
Volume 17, Number 3, 2025
- Fateh Bougamouza, Samira Hazmoune:
Emoji Translation for Sentiment Analysis in Algerian Arabic Dialect. - Jainath Yadav, Aditya Kumar:
Enhanced Pearl Millet Mildew Disease Detection using Ensemble Deep Learning Methods. - Leena Ragha, Himani S. Deshpande:
An Empirical Examination of Classification Algorithms and Resampling Strategies for Dealing with Imbalanced Datasets: a Comparative Analysis. - Prateek Singh, Rohit Rastogi, Prabhinav Mishra, Rayush Jain:
Climatic Data Analysis Using Machine Learning and Correlation with Human Health. - S. M. K. Quadri, Shahla Tarannum, Iqbal Hasan, Md Nurul Islam:
Analysis of Online Transaction using Data Analytics Framework.
Volume 17, Number 4, 2025
- Leyla Mammadova:
A Comprehensive and Comparative Analysis of Deep Learning Models for Textual Sentiment Analysis. - Charles Chimedza, Caston Sigauke, Alphonce Bere, Susan Maposa:
Comparing Discrimination and Calibration Performance of Two Flexible Link Functions in Discrete Survival Models. - Sayel Munsi, Mohammad Aasif, Syed Saif Ahmed, Biswajit Jana, Kuntal Mukherjee, Soumen Ghosh:
Volatility Modelling and Forecasting in Stock Markets: a Machine Learning Approach. - Reddy Sowmya Vangumalla, Yoonsuk Choi:
Analysing Social Medial Sentiment: Unravelling the Trichotomy of Positive, Negative, and Neutral Sentiments in User Comments.
Volume 17, Number 5, 2025
- Francesca Rossignoli, Nicola Tommasi:
Abnormal accrual estimation: an automation data analysis technique. 1-18 - Francesca Rossignoli, Nicola Tommasi:
Abnormal Accrual Estimation: an Automation Data Analysis Technique.

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