An Introduction to Iot Analytics

Perros, Harry G.

  • 出版商: CRC
  • 出版日期: 2021-03-04
  • 售價: $2,200
  • 貴賓價: 9.5$2,090
  • 語言: 英文
  • 頁數: 354
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367686317
  • ISBN-13: 9780367686314
  • 相關分類: 物聯網 IoT
  • 其他版本: An Introduction to Iot Analytics
  • 立即出貨 (庫存 < 3)

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商品描述

This book covers techniques that can be used to analyze data from IoT sensors and addresses questions regarding the performance of an IoT system. It strikes a balance between practice and theory so one can learn how to apply these tools in practice with a good understanding of their inner workings. This is an introductory book for readers who have no familiarity with these techniques.

The techniques presented in An Introduction to IoT Analytics come from the areas of machine learning, statistics, and operations research. Machine learning techniques are described that can be used to analyze IoT data generated from sensors for clustering, classification, and regression. The statistical techniques described can be used to carry out regression and forecasting of IoT sensor data and dimensionality reduction of data sets. Operations research is concerned with the performance of an IoT system by constructing a model of the system under study and then carrying out a what-if analysis. The book also describes simulation techniques.

 

Key Features

 

 

 

 

 

 

 

 

 

 

 

  • IoT analytics is not just machine learning but also involves other tools, such as forecasting and simulation techniques.
  • Many diagrams and examples are given throughout the book to fully explain the material presented.
  • Each chapter concludes with a project designed to help readers better understand the techniques described.
  • The material in this book has been class tested over several semesters.
  • Practice exercises are included with solutions provided online at www.routledge.com/9780367686314

 

Harry G. Perros is a Professor of Computer Science at North Carolina State University, an Alumni Distinguished Graduate Professor, and an IEEE Fellow. He has published extensively in the area of performance modeling of computer and communication systems.

商品描述(中文翻譯)

本書介紹了分析物聯網(IoT)感測器數據的技術,並探討了關於物聯網系統性能的問題。它在實踐和理論之間取得了平衡,讓讀者能夠在實踐中應用這些工具,並對其內部運作有良好的理解。這是一本針對對這些技術不熟悉的讀者的入門書籍。

《物聯網分析入門》介紹的技術來自機器學習、統計學和運營研究領域。書中描述了可以用於分析從感測器生成的物聯網數據的機器學習技術,包括聚類、分類和回歸。所描述的統計技術可用於進行物聯網感測器數據的回歸和預測,以及數據集的降維。運營研究關注的是物聯網系統的性能,通過構建所研究系統的模型,然後進行假設分析。本書還介紹了模擬技術。

主要特點:

- 物聯網分析不僅僅是機器學習,還涉及其他工具,如預測和模擬技術。
- 書中提供了許多圖表和示例,以充分解釋所介紹的內容。
- 每章結束時都有一個項目,旨在幫助讀者更好地理解所描述的技術。
- 本書的內容已在多個學期進行了班級測試。
- 書中包含練習題,並在線上提供解答,網址為www.routledge.com/9780367686314。

Harry G. Perros是北卡羅來納州立大學計算機科學教授,校友傑出畢業教授和IEEE院士。他在計算機和通信系統性能建模領域發表了大量論文。

作者簡介

Harry G. Perros is a Professor of Computer Science at North Carolina State University, an Alumni Distinguished Graduate Professor, and an IEEE Fellow. He has published extensively in the area of performance modelling of computer and communication systems, and in his free time he likes to go sailing and play the bouzouki.

作者簡介(中文翻譯)

Harry G. Perros是北卡羅來納州立大學的計算機科學教授,校友傑出畢業教授和IEEE院士。他在計算機和通信系統性能建模領域發表了大量論文,閒暇時間喜歡去航海和彈奏希臘長頸琴。