000			04356nam a2200373 i 4500
999			_c398387 _d398387 _x1
001			398387
003			ES-MaUEC
005			20240429180430.0
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007			cr nn 008mamaa
008			230919s2023 sz | o |||| 0|eng d
020			_a9783031338083
024	7		_a10.1007/978-3-031-33808-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .B45 _b2023 EB
245	0	0	_aData Analytics for Internet of Things Infrastructure _cedited by Rohit Sharma, Gwanggil Jeon, Yan Zhang
250			_a1st ed 2023
264		1	_aCham _bSpringer Nature Switzerland _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aInternet of Things Technology Communications and Computing _x2199-1081
505	0		_aChapter 1. Big Data in Cloud Today - A Comprehensive Survey -- Chapter 2. Cloud of things platform for water meter network -- Chapter 3. Online newspaper development within the Internet of Things environmental: A Role of Computer-mediated communication -- Chapter 4. FATS-Fuzzy Authentication to provide Trust based Security in VANET to Mitigate Black Hole Attack -- Chapter 5. AI-Based Chatbot Agents as Drivers of Purchase Intentions- An Interdisciplinary Study -- Chapter 6. An Intelligent Model for Identifying the Fluctuation of the Stock Market and Predict the Investment Policies with Assured Return -- Chapter 7. Sandwiched Metasurface Antenna for Small Spacecrafts in IoT Infrastructure -- Chapter 8. Development of Laser Beam Cutting Edge Technology and IoT Based Race Car Lapse Time Computational System -- Chapter 9. A Study of Cloud Based Solution for Data Analytics -- Chapter 10. An Intelligent Model for Optimizing Sparsity Problem towards Movie Recommendation Paradigm using Machine Learning -- Chapter 11. Techniques to identify image objects in adverse environmental conditions - A Systematic Literature Review -- Chapter 12. Technology-Enhanced Teaching and Learning During the COVID-19 Pandemic using IoT Infrastructure -- Chapter 13. The symbiotic relation of IOT and AI for the applications in various domains: Trends and future directions -- Chapter 14. Text Summarization for Big Data Analytics: A Comprehensive Review of GPT 2 and BERT Approaches -- Chapter 15. Leveraging Secured E-Voting using Decentralized Blockchain Technology -- Chapter 16. Multi-Layer Security and Privacy Provision in Internet of Things Networks: Challeneges and Future Trend -- Chapter 17. A methodology for the development of soft sensors with Kafka-ML.
520			_aThis book provides techniques for the deployment of semantic technologies in data analysis along with the latest applications across the field such as Internet of Things (IoT). The authors focus on the use of the IoT and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. They discuss how the generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends the adoption of data analytics to strengthen solutions. The book addresses the challenges in designing the web based IoT system, provides a comparative analysis of different advanced approaches in industries, and contains an analysis of databases to provide expert systems. The book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of IoT and big data analytics. Provides deployment of semantic technologies in data analysis along with the latest applications in Internet of Things; Familiarizes readers with the data analysis environment so they can apply it in Internet of Things; Addresses the challenges in designing web based IoT systems.
988			_aSpringer_Computer_2023
650		7	_2embne _9495511 _aDatos masivos
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-33808-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2024 _dz _eb _zSI