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Titlebook: Data Science—Analytics and Applications; Proceedings of the 5 Peter Haber,Thomas J. Lampoltshammer,Manfred Mayr Conference proceedings 2024

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書目名稱Data Science—Analytics and Applications
副標題Proceedings of the 5
編輯Peter Haber,Thomas J. Lampoltshammer,Manfred Mayr
視頻videohttp://file.papertrans.cn/264/263145/263145.mp4
概述Addresses the latest topics in Data Science and Artificial Intelligence.Collects papers from the 5th International Data Science Conference - iDSC 2023.Deals with a wide range of topics, from Industry
圖書封面Titlebook: Data Science—Analytics and Applications; Proceedings of the 5 Peter Haber,Thomas J. Lampoltshammer,Manfred Mayr Conference proceedings 2024
描述.Based on the overall digitalization in all spheres of our lives, Data Science and Artificial Intelligence (AI) are nowadays cornerstones for innovation, problem solutions, and business transformation. Data, whether structured or unstructured, numerical, textual, or audiovisual, put in context with other data or analyzed and processed by smart algorithms, are the basis for intelligent concepts and practical solutions. These solutions address many application areas such as Industry 4.0, the Internet of Things (IoT), smart cities, smart energy generation, and distribution, and environmental management. Innovation dynamics and business opportunities for effective solutions for the essential societal, environmental, or health challenges, are enabled and driven by modern data science approaches..However, Data Science and Artificial Intelligence are forming a new field that needs attention and focused research. Effective data science is only achieved in a broad and diverse discourse– when data science experts cooperate tightly with application domain experts and scientists exchange views and methods with engineers and business experts. Thus, the 5th International Data Science Conference
出版日期Conference proceedings 2024
關鍵詞Computer Science; Informatics; Conference Proceedings; Research; Applications; Data Science; Big Data
版次1
doihttps://doi.org/10.1007/978-3-031-42171-6
isbn_softcover978-3-031-42170-9
isbn_ebook978-3-031-42171-6
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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S. E. Ramberg,C. L. Bartholomewion trajectories of individual tourists, weather and holidays. In the field of visitor flow prediction with sparse data, we are thereby capable of increasing the accuracy of our predictions, incorporating modern input feature handling as well as mapping geolocation data on top of discrete POI data.
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W. G. Habashi,P. L. Kotiuga,L. A. McLeanparticular sentiment, through machine translation. This work shows that for two different architectures of transformer network-based translations, only minimal changes are detectable. This is proved with examples from different origin languages.
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Prediction of Tourism Flow with Sparse Geolocation Dataion trajectories of individual tourists, weather and holidays. In the field of visitor flow prediction with sparse data, we are thereby capable of increasing the accuracy of our predictions, incorporating modern input feature handling as well as mapping geolocation data on top of discrete POI data.
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