Data Science – Analytics and Applications: Proceedings of the 4th International Data Science Conference

Data Science – Analytics and Applications: Proceedings of the 4th International Data Science Conference – iDSC2021 (English and German Edition) 1st ed. 2022 Edition
German Edition Author: Peter Haber,Thomas J. Lampoltshammer,Helmut Leopold,Manfred Mayr (Editor)
Publisher Finelybook 出版社:Springer Vieweg; 1st ed. 2022 edition (March 30, 2022)
Language 语言:English, German
pages 页数:115 pages
ISBN-10 书号:3658362944
ISBN-13 书号:9783658362942

Book Description
Organizations have moved already from the rigid structure of classical project management towards the adoption of agile approaches. This holds also true for software development projects, which need to be flexible to adopt to rapid requests of clients as well to reflect changes that are required due to architectural design decisions. With data science having established itself as corner stone within organizations and businesses, it is now imperative to perform this crucial step for analytical business processes as well. The non-deterministic nature of data science and its inherent analytical tasks require an interactive approach towards an evolutionary step-Author:-step development to realize core essential business applications and use cases.
The 4th International Data Science Conference (iDSC) 2021 brought together researchers, scientists, and business experts to discuss means of establishing new ways of embracing agile approaches within the various domains of data science, such as machine learning and AI, data mining, or visualization and communication as well as case studies and best practices from leading research institutions and business companies.

The proceedings include all full papers presented in the scientific track and the corresponding German abstracts as well as the short papers from the student track.

Among the topics of interest are:

Artificial Intelligence and Machine Learning
Implementation of data mining processes
Agile Data Science and Visualization
Case Studies and Applications for Agile Data Science

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