Announcements

We are delighted to share some of the most-viewed papers published in Big Data and Cognitive Computing (BDCC, ISSN 2504-2289) in 2025. The following is a list of high-quality articles that we believe will be of interest to you:

“LLM Fine-Tuning: Concepts, Opportunities, and Challenges”
by Xiao-Kun Wu, Min Chen, Wanyi Li, Rui Wang, Limeng Lu, Jia Liu, Kai Hwang, Yixue Hao, Yanru Pan, Qingguo Meng et al.
Big Data Cogn. Comput. 2025, 9(4), 87; https://doi.org/10.3390/bdcc9040087
Available online: https://www.mdpi.com/2504-2289/9/4/87

“Toward the Mass Adoption of Blockchain: Cross-Industry Insights from DeFi, Gaming, and Data Analytics”
by Shezon Saleem Mohammed Abdul, Anup Shrestha and Jianming Yong
Big Data Cogn. Comput. 2025, 9(7), 178; https://doi.org/10.3390/bdcc9070178
Available online: https://www.mdpi.com/2504-2289/9/7/178

“State of the Art and Future Directions of Small Language Models: A Systematic Review”
by Flavio Corradini, Matteo Leonesi and Marco Piangerelli
Big Data Cogn. Comput. 2025, 9(7), 189; https://doi.org/10.3390/bdcc9070189
Available online: https://www.mdpi.com/2504-2289/9/7/189

“The Importance of AI Data Governance in Large Language Models”
by Saurabh Pahune, Zahid Akhtar, Venkatesh Mandapati and Kamran Siddique
Big Data Cogn. Comput. 2025, 9(6), 147; https://doi.org/10.3390/bdcc9060147
Available online: https://www.mdpi.com/2504-2289/9/6/147

“A Comparison of Data Quality Frameworks: A Review”
by Russell Miller, Sai Hin Matthew Chan, Harvey Whelan and João Gregório
Big Data Cogn. Comput. 2025, 9(4), 93; https://doi.org/10.3390/bdcc9040093
Available online: https://www.mdpi.com/2504-2289/9/4/93

“Survey on the Role of Mechanistic Interpretability in Generative AI”
by Leonardo Ranaldi
Big Data Cogn. Comput. 2025, 9(8), 193; https://doi.org/10.3390/bdcc9080193
Available online: https://www.mdpi.com/2504-2289/9/8/193

“A Data Mining Approach to Identify NBA Player Quarter-by-Quarter Performance Patterns”
by Dimitrios Iatropoulos, Vangelis Sarlis and Christos Tjortjis
Big Data Cogn. Comput. 2025, 9(4), 74; https://doi.org/10.3390/bdcc9040074
Available online: https://www.mdpi.com/2504-2289/9/4/74

“Fusion of Sentiment and Market Signals for Bitcoin Forecasting: A SentiStack Network Based on a Stacking LSTM Architecture”
by Zhizhou Zhang, Changle Jiang and Meiqi Lu
Big Data Cogn. Comput. 2025, 9(6), 161; https://doi.org/10.3390/bdcc9060161
Available online: https://www.mdpi.com/2504-2289/9/6/161

“A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges”
by Andrew Brown, Muhammad Roman and Barry Devereux
Big Data Cogn. Comput. 2025, 9(12), 320; https://doi.org/10.3390/bdcc9120320
Available online: https://www.mdpi.com/2504-2289/9/12/320

“ChatGPT’s Impact Across Sectors: A Systematic Review of Key Themes and Challenges”
by Hussam Hussein, Madelina Gordon, Cameron Hodgkinson, Robert Foreman and Sumaya Wagad
Big Data Cogn. Comput. 2025, 9(3), 56; https://doi.org/10.3390/bdcc9030056
Available online: https://www.mdpi.com/2504-2289/9/3/56

“Efficient Data Augmentation Methods for Crop Disease Recognition in Sustainable Environmental Systems”
by Saebom Lee and Sokjoon Lee
Big Data Cogn. Comput. 2025, 9(1), 8; https://doi.org/10.3390/bdcc9010008
Available online: https://www.mdpi.com/2504-2289/9/1/8

“AI-Driven Mental Health Surveillance: Identifying Suicidal Ideation Through Machine Learning Techniques”
by Hesham Allam, Chris Davison, Faisal Kalota, Edward Lazaros and David Hua
Big Data Cogn. Comput. 2025, 9(1), 16; https://doi.org/10.3390/bdcc9010016
Available online: https://www.mdpi.com/2504-2289/9/1/16

“A Meta-Survey of Generative AI in Education: Trends, Challenges, and Research Directions”
by Sirine Bouguettaya, Francesco Pupo, Min Chen and Giancarlo Fortino
Big Data Cogn. Comput. 2025, 9(9), 237; https://doi.org/10.3390/bdcc9090237
Available online: https://www.mdpi.com/2504-2289/9/9/237

“An Expected Goals On Target (xGOT) Model: Accounting for Goalkeeper Performance in Football”
by Blanca De-la-Cruz-Torres, Miguel Navarro-Castro and Anselmo Ruiz-de-Alarcón-Quintero
Big Data Cogn. Comput. 2025, 9(3), 64; https://doi.org/10.3390/bdcc9030064
Available online: https://www.mdpi.com/2504-2289/9/3/64

“A Systematic Literature Review of Artificial Intelligence in Prehospital Emergency Care”
by Omar Elfahim, Kokou Laris Edjinedja, Johan Cossus, Mohamed Youssfi, Oussama Barakat and Thibaut Desmettre
Big Data Cogn. Comput. 2025, 9(9), 219; https://doi.org/10.3390/bdcc9090219
Available online: https://www.mdpi.com/2504-2289/9/9/219

“Transitioning from TinyML to Edge GenAI: A Review”
by Gloria Giorgetti and Danilo Pietro Pau
Big Data Cogn. Comput. 2025, 9(3), 61; https://doi.org/10.3390/bdcc9030061
Available online: https://www.mdpi.com/2504-2289/9/3/61

“Cognitive Computing and Business Intelligence Applications in Accounting, Finance and Management”
by Sio-Iong Ao, Marc Hurwitz and Vasile Palade
Big Data Cogn. Comput. 2025, 9(3), 54; https://doi.org/10.3390/bdcc9030054
Available online: https://www.mdpi.com/2504-2289/9/3/54