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Working Abductively at the Edge of Economics and Computer Science: Economatics as a Data Processing Economy

2021
In this paper we discuss a novel approach to the analysis of a data processor based on production rules and abductive reasoning: It is called “economatics”, namely, a neologism that describes the abductive approach to computing performance analysis that uses concepts, models, and methods borrowed from both economics and computer science.
openaire   +1 more source

Data Visualization: The Crossroads Between Computer Science Curriculum and Baseball; Baseball Technology and its Impact on the Player Development Process

2023
Player development is the most important aspect of college and professional baseball today. Division 1 college teams are given four years – three for the premier collegiate talent – to maximize their players’ development in hopes of making a postseason run to the College World Series in Omaha.
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Common Metrics: Lessons from Building a Collaborative Process for the Examination of State-level K–12 Computer Science Education Data

2023 ASEE Annual Conference & Exposition Proceedings
Problem/background: The broadening participation in computing (BPC) movement has evolved from a focus on increasing the number and diversity of students who participate in computing education to addressing the systemic barriers that prevent equity in computing education. Data has historically played a significant role in the BPC movement, however it is
Rebecca Zarch   +5 more
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Research on Data Science Processing System Under Computer Virtual Reality Technology

2023 IEEE International Conference on Image Processing and Computer Applications (ICIPCA), 2023
Andrew Liang Hong, Beier Sun, Ziyuan An
openaire   +1 more source

NATURAL LANGUAGE PROCESSING FOR DATA MINING IN COMPUTER SCIENCE EDUCATION

EDULEARN Proceedings, 2020
Fernando López-Ostenero   +3 more
openaire   +1 more source

Introduction to Computer Science and Data Processing.

Journal of the American Statistical Association, 1966
Michael S. Montalbano   +2 more
openaire   +1 more source

An overview of real‐world data sources for oncology and considerations for research

Ca-A Cancer Journal for Clinicians, 2022
Lynne Penberthy   +2 more
exaly  

Computer Processing of Social Science Data Using OSIRIS IV.

Journal of the American Statistical Association, 1986
Roger J. Pijacki   +3 more
openaire   +1 more source

Innovations in research and clinical care using patient‐generated health data

Ca-A Cancer Journal for Clinicians, 2020
H S L Jim   +2 more
exaly  

Computational sustainability meets materials science

Nature Reviews Materials, 2021
Carla P Gomes, John Gregoire
exaly  

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