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Record Nr. |
UNISA996464490603316 |
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Autore |
Samanta Debabrata |
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Titolo |
Computationally Intensive Statistics for Intelligent IoT [[electronic resource] /] / by Debabrata Samanta, Amit Banerjee |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (233 pages) |
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Collana |
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Studies in Autonomic, Data-driven and Industrial Computing, , 2730-6445 |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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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. |
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