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Computationally Intensive Statistics for Intelligent IoT / by Debabrata Samanta, Amit Banerjee.
- Format:
- Book
- Author/Creator:
- Samanta, Debabrata., Author.
- Banerjee, Amit, Author.
- Series:
- Computer Science (SpringerNature-11645)
- Studies in autonomic, data-driven and industrial computing 2730-6445
- Studies in Autonomic, Data-driven and Industrial Computing, 2730-6445
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Internet of things.
- Medical informatics.
- Quantitative research.
- Mathematical statistics-Data processing.
- Computational Intelligence.
- Internet of Things.
- Health Informatics.
- Data Analysis and Big Data.
- Statistics and Computing.
- Local Subjects:
- Computational Intelligence.
- Internet of Things.
- Health Informatics.
- Data Analysis and Big Data.
- Statistics and Computing.
- Physical Description:
- 1 online resource (XX, 218 pages) : 53 illustrations, 11 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas of computational arithmetic and its influence on computational statistics, numerical algorithms in statistical application software, basics of computer systems, statistical techniques, linear algebra and its role in optimization techniques, evolution of optimization techniques, optimal utilization of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design of experiments, Bayesian analysis, survival analysis and data mining in computational statistics.
- Contents:
- Introduction to Intelligent IoT
- ML and Information Advancement platform in Intelligent IoT
- Machine Intelligence and Data Science for Intelligent IoT
- Approaches of Data Analytics in Intelligent Medicare utilizing IoT
- Trends and Applications of Intelligent IoT in Agriculture
- Transformation of Intelligent IoT in the Energy Sector
- Abnormality Diagnosis from Ambient Data: Intelligent IoT Data Sequences in Real Time
- Future of Intelligent IoT.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-16-5936-2
- 9789811659362
- Access Restriction:
- Restricted for use by site license.
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