On the Appropriate Methodologies for Data Science Projects
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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2021 International Conference on Information Technology, ICIT 2021 - Proceedings. ed. / Khalid Mohammad Jaber. Institute of Electrical and Electronics Engineers Inc., 2021. p. 667-673 9491712 (2021 International Conference on Information Technology (ICIT)).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - On the Appropriate Methodologies for Data Science Projects
AU - Dastgerdi, Amin Karimi
AU - Gandomani, Taghi Javdani
N1 - Conference code: 10
PY - 2021/7/14
Y1 - 2021/7/14
N2 - Data science is an emerging discipline with a particular research focus on improving the available techniques for data analysis. While the number of data science projects is growing, unfortunately, there is a slight consideration of how a team performs a data science project. Although the existence of a repeatable well-defined process could deal with many challenges of data science projects, researches conducted in recent years indicate a convergence of the results to agile methodologies as the appropriate ones for the projects. In this paper, first, the tasks and roles of individuals in data science projects are addressed; then, some research conducted for the methodologies used in the projects are studied. The study shows that agile methodologies could resolve many issues of data science projects by increasing the communications and cooperation of the team members and investors.
AB - Data science is an emerging discipline with a particular research focus on improving the available techniques for data analysis. While the number of data science projects is growing, unfortunately, there is a slight consideration of how a team performs a data science project. Although the existence of a repeatable well-defined process could deal with many challenges of data science projects, researches conducted in recent years indicate a convergence of the results to agile methodologies as the appropriate ones for the projects. In this paper, first, the tasks and roles of individuals in data science projects are addressed; then, some research conducted for the methodologies used in the projects are studied. The study shows that agile methodologies could resolve many issues of data science projects by increasing the communications and cooperation of the team members and investors.
KW - agile software methodologies
KW - big data
KW - business intelligence
KW - data science
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85112190039&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/624bd0cd-785a-31fd-9550-d417796b035b/
U2 - 10.1109/ICIT52682.2021.9491712
DO - 10.1109/ICIT52682.2021.9491712
M3 - Article in conference proceedings
AN - SCOPUS:85112190039
SN - 978-1-6654-2871-2
T3 - 2021 International Conference on Information Technology (ICIT)
SP - 667
EP - 673
BT - 2021 International Conference on Information Technology, ICIT 2021 - Proceedings
A2 - Jaber, Khalid Mohammad
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Conference on Information Technology - ICIT 2021
Y2 - 14 July 2021 through 15 July 2021
ER -