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Frame Theory in Data Science

Zhihua Zhang & Palle E. T. Jorgensen

Frame Theory in Data Science
Frame Theory in Data Science

Frame Theory in Data Science

Zhihua Zhang & Palle E. T. Jorgensen

Hardback / bound | English
  • Not yet published, expected at May 5, 2024
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€210.95
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Description

This book establishes brand-new frame theory and technical implementation in data science, with a special focus on spatial-scale feature extraction, network dynamics, object-oriented analysis, data-driven environmental prediction, and climate diagnosis.

Zhihua Zhang is a Taishan Distinguished Professor at Shandong University, China and is leading an interdisciplinary big data mining research group. His long-standing researches focus on big data, climate change mechanisms, environmental evolution and sustainability. He has published 8 books (2 with Elsevier, 5 with Springer, and 1 with DeGruyter) and more than 70 articles. He is a chief editor, associate editor, or editorial board member of many global known journals on applied mathematics, climate and environmental science, as well as the first-track chair and plenary speaker of Mediterranean Geosciences Union Annual Meeting.
Palle E.T. Jorgensen is a Professor at the University of Iowa. His prior academic/teaching positions include the University of Pennsylvania, Stanford University, and Aarhus University (Denmark.) He has authored more than 300 highly cited research papers, and more than 10 books. He has received numerous honors and awards, including in 2018 Jorgensen being the NSF/CBMS speaker, giving 10 lectures; titled Harmonic Analysis: Smooth and Non-smooth, published as vol. 128, in the AMS/CBMS book series. He is a frequent invited speaker, giving colloquium and conference presentations at universities in the US, and around the World. 

Specifications

  • Publisher
    Springer International Publishing AG
  • Pub date
    Apr 2024
  • Theme
    Data science and analysis: general
  • Dimensions
    279 x 210 mm
  • EAN
    9783031494826
  • Hardback / bound
    Hardback / bound
  • Language
    English

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