| Big data team process methodologies: A literature review and the identification of key factors for a project's success JS Saltz, I Shamshurin 2016 IEEE International Conference on Big Data (Big Data), 2872-2879, 2016 | 140 | 2016 |
| Comparing data science project management methodologies via a controlled experiment J Saltz, I Shamshurin, K Crowston Proceedings of the 50th Hawaii International Conference on System Sciences …, 2017 | 109 | 2017 |
| Predicting data science sociotechnical execution challenges by categorizing data science projects J Saltz, I Shamshurin, C Connors Journal of the Association for Information Science and Technology 68 (12 …, 2017 | 67 | 2017 |
| Exploring the process of doing data science via an ethnographic study of a media advertising company JS Saltz, I Shamshurin 2015 IEEE international conference on big data (Big Data), 2098-2105, 2015 | 44 | 2015 |
| Core-periphery communication and the success of free/libre open source software projects K Crowston, I Shamshurin Journal of Internet Services and Applications 8 (10), 2017 | 41 | 2017 |
| Core-Periphery Communication and the Success of Free/Libre Open Source Software Projects K Crowston, I Shamshurin OSS 2016: Open Source Systems: Integrating Communities, 45-56, 2016 | 41 | 2016 |
| Does pair programming work in a data science context? An initial case study JS Saltz, I Shamshurin 2017 IEEE International Conference on Big Data (Big Data), 2348-2354, 2017 | 25 | 2017 |
| A framework for describing big data projects J Saltz, I Shamshurin, C Connors Business Information Systems Workshops: BIS 2016 International Workshops …, 2017 | 25 | 2017 |
| Using a coach to improve team performance when the team uses a Kanban process methodology I Shamshurin, JS Saltz International Journal of Information Systems and Project Management 7 (2), 61-77, 2019 | 17 | 2019 |
| Achieving Agile big data science: the evolution of a team’s Agile process methodology JS Saltz, I Shamshurin 2019 IEEE International Conference on Big Data (Big Data), 3477-3485, 2019 | 13 | 2019 |
| Exploring how different project management methodologies impact data science students J Saltz, R Heckman, I Shamshurin | 10 | 2017 |
| What can closed sets of students and their marks say? DI Ignatov, S Mamedova, N Romashkin, I Shamshurin EDM, 223-228, 2011 | 9 | 2011 |
| Extracting domain-specific opinion words for sentiment analysis I Shamshurin Advances in Computational Intelligence: 11th Mexican International …, 2013 | 7 | 2013 |
| A predictive model to identify Kanban teams at risk I Shamshurin, JS Saltz Model Assisted Statistics and Applications 14 (4), 321-335, 2019 | 6 | 2019 |
| Data representation in machine learning-based sentiment analysis of customer reviews I Shamshurin Pattern Recognition and Machine Intelligence: 4th International Conference …, 2011 | 6 | 2011 |
| Will Deep Learning Change How Teams Execute Big Data Projects? I Shamshurin, J Saltz 2018 IEEE International Conference on Big Data (Big Data), 2813-2817, 2018 | 5 | 2018 |
| Exploring pair programming beyond computer science: a case study in its use in data science/data engineering J Saltz, I Shamshurin International Journal of Higher Education and Sustainability 2 (4), 265-278, 2019 | 4 | 2019 |
| Exploring the Use of a Kanban Coach for Student Teams. JS Saltz, I Shamshurin AMCIS, 2019 | 1 | 2019 |
| Beauty or money? Statistical analysis I Mandel, S Mastandrea, K Rachenkov, I Shamshurin Model Assisted Statistics and Applications 16 (2), 151-162, 2021 | | 2021 |
| Improving Data Science Team Performance via the Use of a Kanban Process Framework that has Enhanced Mentoring, Coaching and Metrics Utilization I Shamshurin | | 2019 |
jeffrey saltzSyracuse University在 syr.edu 的电子邮件经过验证
