Ivan Shamshurin

Publication Activity (10 Years)

Years Active: 2011-2019
Publications (10 Years): 12

Top Topics

Massive Datasets

Open Source Software Projects

Top Venues

J. Internet Serv. Appl.

Publications

Jeffrey S. Saltz, Ivan Shamshurin
Achieving Agile Big Data Science: The Evolution of a Team's Agile Process Methodology. IEEE BigData (2019)
Jeffrey S. Saltz, Ivan Shamshurin
Exploring the Use of a Kanban Coach for Student Teams. AMCIS (2019)
Ivan Shamshurin, Jeffrey S. Saltz
Will Deep Learning Change How Teams Execute Big Data Projects? IEEE BigData (2018)
Kevin Crowston, Ivan Shamshurin
Core-periphery communication and the success of free/libre open source software projects. J. Internet Serv. Appl. 8 (1) (2017)
Jeffrey S. Saltz, Ivan Shamshurin, Kevin Crowston
Comparing Data Science Project Management Methodologies via a Controlled Experiment. HICSS (2017)
Jeffrey S. Saltz, Ivan Shamshurin, Colin Connors
Predicting data science sociotechnical execution challenges by categorizing data science projects. J. Assoc. Inf. Sci. Technol. 68 (12) (2017)
Jeffrey S. Saltz, Robert Heckman, Ivan Shamshurin
Exploring How Different Project Management Methodologies Impact Data Science Students. ECIS (2017)
Jeffrey S. Saltz, Ivan Shamshurin
Does pair programming work in a data science context? An initial case study. IEEE BigData (2017)
Jeffrey S. Saltz, Ivan Shamshurin
Big data team process methodologies: A literature review and the identification of key factors for a project's success. IEEE BigData (2016)
Jeffrey S. Saltz, Ivan Shamshurin, Colin Connors
A Framework for Describing Big Data Projects. BIS (Workshops) (2016)
Kevin Crowston, Ivan Shamshurin
Core-Periphery Communication and the Success of Free/Libre Open Source Software Projects. OSS (2016)
Jeffrey S. Saltz, Ivan Shamshurin
Exploring the process of doing data science via an ethnographic study of a media advertising company. IEEE BigData (2015)
Ivan Shamshurin
Extracting Domain-Specific Opinion Words for Sentiment Analysis. MICAI (2) (2012)
Ivan Shamshurin
Data Representation in Machine Learning-Based Sentiment Analysis of Customer Reviews. PReMI (2011)
Dmitry I. Ignatov, Serafima Mamedova, Nikita Romashkin, Ivan Shamshurin
What Can Closed Sets of Students and Their Marks Say? EDM (2011)