بِسْمِ اللَّهِ الرَّحْمَنِ الرَّحِيمِ

دانلود کتاب رویکرد یادگیری ماشین برای تجزیه و تحلیل داده های ابری در اینترنت اشیاء (IoT)

Machine Learning Approach for Cloud Data Analytics in IoT | Sachi Nandan Mohanty, Jyotir Moy Chatterjee, Monika Mangla, Suneeta Satpathy | ISBN: 1119785804, 978-1119785804, B099M97QK9

45,000 تومان
محصول مورد نظر موجود نمی‌باشد.
تعداد
نوع
  • {{value}}
کمی صبر کنید...

کتاب های مرتبط

سال انتشار: 2021

تعداد صفحات: 617

زبان فایل: انگلیسی

فرمت فایل: pdf تبدیل شده

حجم فایل: 22MB

ناشر: ‎ Wiley-Scrivener

In this era of IoT, edge devices generate gigantic data during every fraction of a second. The main aim of these networks is to infer some meaningful information from the collected data. For the same, the huge data is transmitted to the cloud which is highly expensive and time-consuming. Hence, it needs to devise some efficient mechanism to handle this huge data, thus necessitating efficient data handling techniques.  Sustainable computing paradigms like cloud and fog are expedient to capably handle the issues of performance, capabilities allied to storage and processing, maintenance, security, efficiency, integration, cost, energy and latency. However, it requires sophisticated analytics tools so as to address the queries in an optimized time. Hence, rigorous research is taking place in the direction of devising effective and efficient framework to garner utmost advantage.

Machine learning has gained unmatched popularity for handling massive amounts of data and has applications in a wide variety of disciplines, including social media.

Machine Learning Approach for Cloud Data Analytics in IoT details and integrates all aspects of IoT, cloud computing and data analytics from diversified perspectives. It reports on the state-of-the-art research and advanced topics, thereby bringing readers up to date and giving them a means to understand and explore the spectrum of applications of IoT, cloud computing and data analytics.