Data Science: A Systematic Treatment

01/31/2023
by   M. Tamer Özsu, et al.
0

There has been an increasing recognition of the value of data and of data-based decision making. As a consequence, the development of data science as a field of study has intensified in recent years. However, there is no systematic and comprehensive treatment and understanding of data science. This article describes a systematic and end-to-end framing of the field based on an inclusive definition. It identifies the core components making up the data science ecosystem, presents its lifecycle modeling the development process, and argues its interdisciplinarity.

READ FULL TEXT

page 5

page 10

research
06/28/2020

Data Science: Nature and Pitfalls

Data science is creating very exciting trends as well as significant con...
research
08/13/2021

HPTMT Parallel Operators for High Performance Data Science Data Engineering

Data-intensive applications are becoming commonplace in all science disc...
research
06/21/2017

Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy

Objective: Surgical data science is evolving into a research field that ...
research
10/22/2019

How can AI Automate End-to-End Data Science?

Data science is labor-intensive and human experts are scarce but heavily...
research
01/14/2021

Data Science for Engineers: A Teaching Ecosystem

We describe an ecosystem for teaching data science (DS) to engineers whi...
research
06/08/2018

Surgical Data Science: A Consensus Perspective

Surgical data science is a scientific discipline with the objective of i...

Please sign up or login with your details

Forgot password? Click here to reset