this contribution proposes the empirically grounded data science process model (DASC-PM)—a framework that maps a data science project as a four-step process ...
To illustrate the phase-oriented specification capabilities of the DASC-. PM, we exemplarily present competence and role profiles for the analysis phase of a ...
2020/12/02 · This article presents the Data Science Process Model version 1.1 (DASC-PM v1.1) and a case study to illustrate how the comprehensively designed ...
DASC-PM is a novel process model for data science projects that describes the key areas relevant to the project and the phases to be completed.
from publication: Introducing DASC-PM: A Data Science Process Model | Data-driven disciplines like data mining and knowledge management already provide ...
Title: Introducing DASC-PM: A Data Science Process Model ; Author(s):, Schulz, Michael · Neuhaus, Uwe · Kaufmann, Jens · Badura, Daniel · Kühnel, Stephan
Introducing DASC-PM: a data science process model. M Schulz, U Neuhaus, J Kaufmann, D Badura, S Kuehnel, W Badwitz, ... 23, 2020. How platforms build trust. T ...
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How do you introduce a data science project?
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Why do we need data science?
2023/04/12 · How do you manage your data science projects? Are you using process models such as CRISP-DM, KDD or TDSP? And are you happy with it?
2023/03/10 · The DASC-PM is chosen to ensure a structured and scientific process for project management. To gain an overview of the project assignment, the ...
Using the Data Science Process Model Version 1.1 (DASC-PM v1.1) for Executing Data Science Projects: Procedures, Competencies, and Roles. Abstract. This ...