صورة الغلاف

Spatiotemporal Data Analytics and Modeling Techniques and Applications /

With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with artificial intelligence and machine learning and internet of thing...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
مؤلف مشترك: SpringerLink (Online service)
مؤلفون آخرون: A, John (المحرر), Abimannan, Satheesh (المحرر), El-Alfy, El-Sayed M. (المحرر), Chang, Yue-Shan (المحرر)
التنسيق: الكتروني كتاب الكتروني
اللغة:الإنجليزية
منشور في: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
الطبعة:1st ed. 2024.
سلاسل:Big Data Management,
الموضوعات:
Data mining.
Quantitative research.
Big data.
Engineering > Data processing.
Data Mining and Knowledge Discovery.
Data Analysis and Big Data.
Big Data.
Data Engineering.
الوصول للمادة أونلاين:https://doi.org/10.1007/978-981-99-9651-3
الوسوم: إضافة وسم
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جدول المحتويات:
  • PART I. Spatiotemporal Data Management Techniques. – Chapter 1. Introduction to Spatiotemporal Data
  • Chapter 2. Recommendation System using Spatial-Temporal Network for Vehicle Demand Prediction
  • Chapter 3. Spatial-based Big Data and Large-Scale Network Management
  • Chapter 4. Handling Uncertainty in Spatiotemporal Data
  • Chapter 5. Multimodal Spatial-Temporal Prediction and Classification using Deep Learning
  • Chapter 6. Spatiotemporal Object Detection and Activity Recognition
  • PART II. Applications of Spatiotemporal Data Analytics
  • Chapter 7. Spatiotemporal Data Analytics for e-waste Management System using Hybrid Deep Belief Networks
  • Chapter 8. Spatiotemporal and Intelligent Transportation Forecasting
  • Chapter 9. Spatiotemporal Supply Chains and E-Commerce
  • Chapter 10. Spatiotemporal Renewable Energy Techniques and Applications.-Chapter 11. Environmental Spatiotemporal Data Analytics
  • Chapter 12. Future and ResearchPerspectives of Spatiotemporal Data Analytics and Modelling. .

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