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Data Science Context
This chapter positions Dimensionality Reduction (DR) in the broader context of data science, considering both its use as an automated pre-processing...
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Intelligent Systems and Data Science First International Conference, ISDS 2023, Can Tho, Vietnam, November 11–12, 2023, Proceedings, Part I
This two-volume set constitutes the refereed proceedings of the First International Conference on Intelligent Systems and Data Science, ISDS 2023,...
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Intelligent Systems and Data Science First International Conference, ISDS 2023, Can Tho, Vietnam, November 11–12, 2023, Proceedings, Part II
This two-volume set constitutes the refereed proceedings of the First International Conference on Intelligent Systems and Data Science, ISDS 2023,...
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Data sharing platforms: instruments to inform and shape science policy on data sharing?
Data sharing platforms are being constructed to make clinical cohort data more findable, accessible, interoperable, and reusable. Their primary...
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Multi-disciplinary Research: Open Science Data Lake
Open Science aims to establish an interdisciplinary exchange between researchers through knowledge sharing and open data. However, this...
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Professional Skills and Soft Skills in Data Science
In this chapter, we highlight skills that are required to deal with data science in a meaningful manner. The chapter describes two kinds of skills:...
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Widely Used Techniques in Data Science Applications
Before discussing common techniques used in data science applications, firstly we will try to explain three types of learning which include...
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Numerical Algorithms for Data Science
In Chap. 2 , standard application-specific map**s were shown. The task of DSData Science (DS) is to...
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The Birth of a New Discipline: Data Science Education
Data science is a young field of research and its associated educational knowledge—data science education—is even younger. As of the time of writing...
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Sports Data Analytics: An Art and a Science
This short paper highlights the role of sports data analytics in providing credible metrics for complex skills, aiding managers and coaches in...
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Guide to Teaching Data Science An Interdisciplinary Approach
Data science is a new field that touches on almost every domain of our lives, and thus it is taught in a variety of environments. Accordingly, the...
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Data Science Applications
In Parts I & II, we have considered a communication problem wherein the goal is to deliver a sequence of information bits from a transmitter to a...
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Data Science 8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022, Chengdu, China, August 19–22, 2022, Proceedings, Part II
This two volume set (CCIS 1628 and 1629) constitutes the refereed proceedings of the 8th International Conference of Pioneering Computer Scientists,...
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Value Creation from Data Science Applications - A Literature Review
In the paper at hand, a structured literature review was conducted to provide an overview of the components of value creation from Data Science...
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Data Science und Maschinelles Lernen
Ausgehend von den Grundlagen von Data Science im Kap. 7 fokussiert sich dieses Kapitel auf einen Teil des...
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Data Science and Your Business
Having understood the data science process and what it entails, we now delve into the business-fitment considerations of data science.
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Fairness & friends in the data science era
The data science era is characterized by data-driven automated decision systems (ADS) enabling, through data analytics and machine learning,...
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Data Justice, Computational Social Science and Policy
Big data has increased attention to Computational Social Science (CSS) on the part of policymakers because it has the power to make populations,...
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Automating Data Science
It has been observed that, in data science, a great part of the effort usually goes into various preparatory steps that precede model-building. The...
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Visualization and Deep Learning in Data Science
People quickly and efficiently take in visually processed information. The processing of data of any kind is therefore an important and heavily...