Machine Learning in Cognitive Iot
暫譯: 認知物聯網中的機器學習

Kumar, Neeraj, Makkar, Aaisha

Machine Learning in Cognitive Iot
  • 出版商: CRC
  • 出版日期: 2020-05-28
  • 售價: $3,465
  • 貴賓價: 9.5 折 $3,292
  • 語言: 英文
  • 頁數: 256
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367359162
  • ISBN-13: 9780367359164
  • 相關分類: Machine Learning、物聯網 IoT

    • 立即出貨 (庫存=1)

商品描述

This book covers the different technologies of Internet, and machine learning capabilities involved in Cognitive Internet of Things (CIoT). Machine learning is explored by covering all the technical issues and various models used for data analytics during decision making at different steps. It initiates with IoT basics, its history, architecture and applications followed by capabilities of CIoT in real world and description of machine learning (ML) in data mining. Further, it explains various ML techniques and paradigms with different phases of data pre-processing and feature engineering. Each chapter includes sample questions to help understand concepts of ML used in different applications.

  • Explains integration of Machine Learning in IoT for building an efficient decision support system
  • Covers IoT, CIoT, machine learning paradigms and models
  • Includes implementation of machine learning models in R
  • Help the analysts and developers to work efficiently with emerging technologies such as data analytics, data processing, Big Data, Robotics
  • Includes programming codes in Python/Matlab/R alongwith practical examples, questions and multiple choice questions

商品描述(中文翻譯)

這本書涵蓋了互聯網的不同技術以及在認知物聯網（Cognitive Internet of Things, CIoT）中涉及的機器學習能力。書中探討了機器學習，涵蓋了在不同決策步驟中用於數據分析的所有技術問題和各種模型。內容從物聯網（IoT）的基本概念、歷史、架構和應用開始，接著介紹了CIoT在現實世界中的能力以及機器學習（Machine Learning, ML）在數據挖掘中的描述。進一步解釋了各種機器學習技術和範式，以及數據預處理和特徵工程的不同階段。每一章都包含示例問題，以幫助理解在不同應用中使用的機器學習概念。

- 解釋了機器學習在物聯網中的整合，以建立高效的決策支持系統
- 涵蓋了物聯網、CIoT、機器學習範式和模型
- 包括在R語言中實現機器學習模型
- 幫助分析師和開發人員有效地使用新興技術，如數據分析、數據處理、大數據和機器人技術
- 包含Python/Matlab/R中的程式碼，以及實際範例、問題和選擇題

作者簡介

Dr. Neeraj Kumar is working as Full Professor in the Department of Computer Science and Engineering, Thapar Institute of Engineering & Technology, Patiala (Pb.), India. Prof. Neeraj is an internationally renowned researcher in the areas of VANET & CPS Smart Grid & IoT Mobile Cloud computing & Big Data and Cryptography. He has published more than 300 technical research papers in leading journals and conferences from IEEE, Elsevier, Springer, John Wiley, and Taylor and Francis. He has guided many research scholars leading to Ph.D. and M.E./M.Tech. He is member of the Cyber-Physical Systems and Security (CPSS) research group. He has research funding from DST, CSIR, UGC, and TCS. He has won best papers awards from IEEE ICC and IEEE Systems Journals 2018. He is a senior member of IEEE and is in the editorial board of various journals of repute.

 

Dr. Aaisha Makkar received her Bachelor of Computer Applications degree from Panjab University, Chandigarh, India in 2010 and Master of Computer Applications from National Institute of Technology (NIT), Kurukshetra, India in 2013. She had worked as an Assistant Professor in Computer Application Department of NIT, Kurukshetra. She obtained her Ph.D. degree from Computer Science and Engineering Department in Thapar Institute of Engineering &Technology, Patiala (Punjab), India. Her research interests in data mining, web mining, algorithms, machine learning and Internet of thing. She has experience of more than 10 years in teaching and research. He has more than 10 research publications in good journals of repute.

作者簡介(中文翻譯)

Dr. Neeraj Kumar 目前擔任印度巴提亞拉（Punjab）Thapar 工程與技術學院計算機科學與工程系的正教授。Neeraj 教授在車輛自組網（VANET）、網絡物理系統（CPS）、智慧電網、物聯網（IoT）、行動雲計算、大數據及密碼學等領域享有國際聲譽。他在 IEEE、Elsevier、Springer、John Wiley 和 Taylor and Francis 等知名期刊和會議上發表了超過 300 篇技術研究論文。他指導了許多研究學者，並協助他們獲得博士及碩士（M.E./M.Tech）學位。他是網絡物理系統與安全（CPSS）研究小組的成員，並獲得了來自 DST、CSIR、UGC 和 TCS 的研究資助。他在 2018 年獲得 IEEE ICC 和 IEEE 系統期刊的最佳論文獎。他是 IEEE 的資深會員，並在多個知名期刊的編輯委員會中任職。

Dr. Aaisha Makkar 於 2010 年在印度昌迪加爾的旁遮普大學獲得計算機應用學士學位，並於 2013 年在印度庫魯克舍特拉的國立技術學院（NIT）獲得計算機應用碩士學位。她曾在 NIT 庫魯克舍特拉的計算機應用系擔任助理教授。她在印度巴提亞拉的 Thapar 工程與技術學院計算機科學與工程系獲得博士學位。她的研究興趣包括資料探勘、網頁探勘、演算法、機器學習和物聯網。她在教學和研究方面擁有超過 10 年的經驗，並在多個知名期刊上發表了超過 10 篇研究論文。

目錄大綱

Chapter 1: Internet of Things Chapter 2: Cognitive Internet of Things Chapter 3: Data mining in IoT Chapter 4: Machine Learning Techniques Chapter 5: R Programming Chapter 6: Machine Learning Paradigms Chapter 7: Different Machine Learning Models Chapter 8: Data Processing Chapter 9: Feature Engineering and Optimization Chapter 10: Evaluation and Validation of Results Chapter 11: Solutions Chapter 12: Data Set Bibliography

目錄大綱(中文翻譯)

Chapter 1: Internet of Things Chapter 2: Cognitive Internet of Things Chapter 3: Data mining in IoT Chapter 4: Machine Learning Techniques Chapter 5: R Programming Chapter 6: Machine Learning Paradigms Chapter 7: Different Machine Learning Models Chapter 8: Data Processing Chapter 9: Feature Engineering and Optimization Chapter 10: Evaluation and Validation of Results Chapter 11: Solutions Chapter 12: Data Set Bibliography

類似商品