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Computationally Intensive Statistics for Intelligent IoT [[electronic resource] /] / by Debabrata Samanta, Amit Banerjee



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Autore: Samanta Debabrata Visualizza persona
Titolo: Computationally Intensive Statistics for Intelligent IoT [[electronic resource] /] / by Debabrata Samanta, Amit Banerjee Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Edizione: 1st ed. 2021.
Descrizione fisica: 1 online resource (233 pages)
Disciplina: 303.4833
Soggetto topico: 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
Persona (resp. second.): BanerjeeAmit
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Computationally intensive statistics for intelligent IoT  Visualizza cluster
ISBN: 981-16-5936-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996464490603316
Lo trovi qui: Univ. di Salerno
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Serie: Studies in Autonomic, Data-driven and Industrial Computing, . 2730-6445