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Data Science, Data Visualization, and Digital Twins / edited by Sara Shirowzhan.
- Format:
- Book
- Language:
- English
- Subjects (All):
- Information visualization.
- Data mining.
- Physical Description:
- 1 online resource (xi, 116 pages) : illustrations
- Place of Publication:
- London : IntechOpen, 2022.
- Summary:
- Real-time, web-based, and interactive visualisations are proven to be outstanding methodologies and tools in numerous fields when knowledge in sophisticated data science and visualisation techniques is available. The rationale for this is because modern data science analytical approaches like machine/deep learning or artificial intelligence, as well as digital twinning, promise to give data insights, enable informed decision-making, and facilitate rich interactions among stakeholders.The benefits of data visualisation, data science, and digital twinning technologies motivate this book, which exhibits and presents numerous developed and advanced data science and visualisation approaches. Chapters cover such topics as deep learning techniques, web and dashboard-based visualisations during the COVID pandemic, 3D modelling of trees for mobile communications, digital twinning in the mining industry, data science libraries, and potential areas of future data science development.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Includes bibliographical references.
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