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ORCIDWIREs Data Mining and Knowledge Discovery, Volume 15
Volume 15, Number 1, March 2025
Advanced Review
- Jon Vadillo
, Roberto Santana, José Antonio Lozano:
Adversarial Attacks in Explainable Machine Learning: A Survey of Threats Against Models and Humans.
Software Focus
- Itzik David, Roy Gelbard:
Using Machine Learning for Systematic Literature Review Case in Point: Agile Software Development.
Overview
- S. Tamilselvan, G. Dhanalakshmi, D. Balaji, L. Rajeshkumar:
Application-Based Review of Soft Computational Methods to Enhance Industrial Practices Abetted by the Patent Landscape Analysis.
Systematic Review
- Haiyang Xiao, Ruomei Yan, Wu Yan, Guan Lixin, Mengshan Li:
Knowledge Graph for Solubility Big Data: Construction and Applications.
Advanced Review
- Onur Dogan, Abdulkadir Hiziroglu, Ali Pisirgen, Omer Faruk Seymen:
Business Analytics in Customer Lifetime Value: An Overview Analysis.
Overview
- Shyam R. Sihare:
Dimensionality Reduction for Data Analysis With Quantum Feature Learning.
Systematic Review
- Michael Loki, Agnes Mindila, Wilson Cheruiyot:
Hyper-Parameter Optimization of Kernel Functions on Multi-Class Text Categorization: A Comparative Evaluation.
Advanced Review
- Antonino Rullo, Farhana Alam, Edoardo Serra:
Trace Encoding Techniques for Multi-Perspective Process Mining: A Comparative Study.
Volume 15, Number 2, June 2025
Systematic Review
- S. Kumar Reddy Mallidi, Rajeswara Rao Ramisetty:
Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing.
Advanced Review
- Samiul Based Shuvo, Syed Samiul Alam, Syeda Umme Ayman, Arbil Chakma, Massimo Salvi, Silvia Seoni, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya:
Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review. - Kwok P. Chun, Thanti Octavianti, Nilay Dogulu, Hristos Tyralis, Georgia Papacharalampous, Ryan Rowberry, Pingyu Fan, Mark Everard, Maria Francesch-Huidobro, Wellington Migliari, David M. Hannah, John Travis Marshall, Rafael Tolosana-Calasanz, Chad Staddon, Ida Ansharyani, Bastien Dieppois, Todd R. Lewis, Juli Ponce, Silvia Ibrean, Tiago Miguel Ferreira, Chinkie Peliño-Golle, Ye Mu, Manuel Davila Delgado, Elizabeth Silvestre Espinoza, Martin Keulertz, Deepak Gopinath, Cheng Li:
Transforming Disaster Risk Reduction With AI and Big Data: Legal and Interdisciplinary Perspectives. - Amutha Sadasivan, Kavipriya Gananathan, Joe Dhanith Pal Nesamony Rose Mary, Surendiran Balasubramanian:
A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications. - Abdul Aziz Noor, Awais Manzoor, Muhammad Deedahwar Mazhar Qureshi, Muhammad Atif Qureshi, Wael Rashwan:
Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions. - Simi Job, Xiaohui Tao, Taotao Cai, Haoran Xie, Lin Li, Qing Li, Jianming Yong:
Exploring Causal Learning Through Graph Neural Networks: An In-Depth Review. - Tamanna Sachdeva, Lalit Mohan Goyal, Mamta Mittal:
Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems. - Deepti Singh, Ankita Verma:
An Overview of Heterogeneous Social Network Analysis. - Sepehr Ghazinoory, Mercedeh Pahlavanian, Mehdi Fatemi, Fatemeh Parvin, Sayna Ahad Bhat:
How AI Contributes to Poverty Alleviation: A Systematic Literature Review. - Keerthi Gabbi Reddy, Deepasikha Mishra:
Advances in Feature Selection Using Memetic Algorithms: A Comprehensive Review. - Loan T. T. Nguyen, Trang T. D. Nguyen, Quang-Thinh Bui, Bay Vo:
Geospatial Data Clustering in Network Space: A Survey. - Pavan Kumar Enuganti, Basabdatta Sen Bhattacharya, Teresa Serrano-Gotarredona, Oliver Rhodes:
Neuromorphic Computing and Applications: A Topical Review. - Grigorios Papageorgiou, Ekaterini Skamnia, Polychronis Economou:
AI-Assisted Literature Review: Integrating Visualization and Geometric Features for Insightful Analysis. - Daniel Calegari, Andrea Delgado:
A Systematic Review on Process Mining for Curricular Analysis. - Gianluca Carloni, Andrea Berti, Sara Colantonio:
The Role of Causality in Explainable Artificial Intelligence. - Payel Santra, Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar:
The "Curious Case of Contexts" in Retrieval-Augmented Generation With a Combination of Labeled and Unlabeled Data. - Abhishek Thommandru, Varda Mone, Fayzulloyev Shokhijakhon, Giyosbek Mirzayev:
Algorithmic Profiling and Facial Recognition in EU Border Control: Examining ETIAS Decision-Making, Privacy and Law. - Dhanashree Vipul Yevle, Palvinder Singh Mann:
Artificial Intelligence-Based Waste Management: A Review of Classification, Techniques, Issues, and Challenges. - Renzo Arturo Alva Principe, Nicola Chiarini, Marco Viviani:
Long Document Classification in the Transformer Era: A Survey on Challenges, Advances, and Open Issues. - Antonio-Manuel Martínez-Heredia, Sebastián Ventura:
Weak Supervision: A Survey on Predictive Maintenance. - Yongkang Li, Xingyu Zhu, Yuheng Wu, Wenxu Zhao, Xiaona Xia:
A Survey on Causal Inference-Driven Data Bias Optimization in Recommendation Systems: Principles, Opportunities and Challenges. - Leona Cilar Budler, Hongyu Chen, Aokun Chen, Maxim Topaz, Wilson Tam, Jiang Bian, Gregor Stiglic:
A Brief Review on Benchmarking for Large Language Models Evaluation in Healthcare. - Md Jahid Hasan, Kha Cong Nguyen, Yee Ling Boo, Hamed Jahani, Kok-Leong Ong:
Vehicle Damage Detection Using Artificial Intelligence: A Systematic Literature Review. - Sorin-Claudiu Moldovan, László Barna Iantovics:
Review on Information Fusion-Based Data Mining for Improving Complex Anomaly Detection. - Issue Information.
- Cong-Thien Pham, Hung Bui, Mao Nguyen, Tri-Quang Pham, Xuan-Vinh Vu, Triet Le, Tho Quan:
A Comprehensive Review on Data-Driven Methods of Lithium-Ion Batteries State-of-Health Forecasting.
Volume 15, Number 3, 2025
- Himanshu Suyal, Avtar Singh:
A Systematic Literature Survey of Crowdsourcing: Current Status and Future Perspectives. - Akansha Singh, Nupur Prakash, Anurag Jain:
Meta-Heuristic Optimization for the Multi-Classification of Chronic Disease: A Review With Machine Learning Perspectives. - Ali Kohan, Amir Zahedi, Roohallah Alizadehsani, Ru-San Tan, U. Rajendra Acharya:
Application of Explainable Artificial Intelligence (XAI) Techniques in Patients With Intracranial Hemorrhage: A Systematic Review. - Solange Machado, Xingquan Zhu:
Statistical and Machine Learning Approaches for Electrical Energy Forecasting. - Megha Khandelwal, Arun Sharma:
Machine Learning and Deep Learning Techniques to Detect Mental Stress Using Various Physiological Signals: A Critical Insight. - Mangayarkarasi Ramaiah, Prabhavathy Settu, Vinayakumar Ravi:
Artificial Intelligence Techniques Enabled Soil Moisture Estimation Frameworks Using Remote Sensing Satellite Images: Challenges and Future Directions- Review. - M. Z. Naser:
A Guide to Machine Learning Epistemic Ignorance, Hidden Paradoxes, and Other Tensions. - Gaurav Shinde, Anuradha Ravi, Emon Dey, Shadman Sakib, Milind Rampure, Nirmalya Roy:
A Survey on Efficient Vision-Language Models. - Issue Information.
- José Ángel Díaz-García, João Paulo Carvalho:
A Literature Review of Textual Cyber Abuse Detection Using Cutting-Edge Natural Language Processing Techniques: Language Models and Large Language Models.
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