Intelligent Data Analytics, Iot, and Blockchain

Alam, Bashir, Alam, Mansaf

  • 出版商: Auerbach Publication
  • 出版日期: 2023-10-30
  • 售價: $7,710
  • 貴賓價: 9.5$7,325
  • 語言: 英文
  • 頁數: 344
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032442786
  • ISBN-13: 9781032442785
  • 相關分類: 區塊鏈 Blockchain物聯網 IoTData Science
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商品描述

This book focuses on data analytics with machine learning using IoT and blockchain technology. Integrating these three fields by examining their interconnections, Intelligent Data Analytics, IoT, and Blockchain examines the opportunities and challenges of developing systems and applications exploiting these technologies. Written primarily for researchers who are working in this multi-disciplinary field, the book also benefits industry experts and technology executives who want to develop their organizations' decision-making capabilities. Highlights of the book include:

  • Using image processing with machine learning techniques

  • A deep learning approach for facial recognition

  • A scalable system architecture for smart cities based on cognitive IoT

  • Source authentication of videos shared on social media

  • Survey of blockchain in healthcare

  • Accident prediction by vehicle tracking

  • Big data analytics in disaster management

  • Applicability, limitations, and opportunities of blockchain technology

The book presents novel ideas and insights on different aspects of data analytics, blockchain technology, and IoT. It views these technologies as interdisciplinary fields concerning processes and systems that extract knowledge and insights from data. Focusing on recent advances, the book offers a variety of solutions to real-life challenges with an emphasis on security.

商品描述(中文翻譯)

這本書專注於使用物聯網(IoT)和區塊鏈技術進行數據分析與機器學習。通過研究這三個領域之間的相互聯繫,智能數據分析、物聯網和區塊鏈探討了利用這些技術開發系統和應用的機會和挑戰。本書主要針對從事這一跨學科領域研究的學者,同時也適用於希望提升組織決策能力的行業專家和技術主管。本書的亮點包括:

- 使用圖像處理和機器學習技術
- 面部識別的深度學習方法
- 基於認知物聯網的智慧城市可擴展系統架構
- 社交媒體上共享視頻的來源驗證
- 醫療保健領域的區塊鏈調查
- 通過車輛追蹤進行事故預測
- 災害管理中的大數據分析
- 區塊鏈技術的適用性、限制和機遇

本書提出了關於數據分析、區塊鏈技術和物聯網不同方面的新思想和見解。它將這些技術視為涉及從數據中提取知識和見解的跨學科領域。本書聚焦於最新進展,提供了多種解決現實挑戰的方案,並強調安全性。

作者簡介

Bashir Alam is a professor at Jamia Millia Islamia, New Delhi, India, where he heads the Department of Computer Engineering and obtained a PhD degree. He has 22 years of teaching and research experience. His areas of research include Big Data analytics, Artificial Intelligence, parallel and distributed systems, Cloud Computing, machine learning, GPU computing, blockchain, and information security.

Mansaf Alam is a professor in the Department of Computer Science, Faculty of Natural Sciences, Jamia Millia Islamia. A Young Faculty Research Fellow and the Editor-in-Chief of the Journal of Applied Information Science, he pursues research in Artificial Intelligence, Big Data analytics, machine learning, deep learning, Cloud Computing, and data mining.

作者簡介(中文翻譯)

Bashir Alam是印度新德里Jamia Millia Islamia大學的教授,他是該校計算機工程系的系主任,並獲得了博士學位。他擁有22年的教學和研究經驗。他的研究領域包括大數據分析、人工智能、並行和分佈式系統、雲計算、機器學習、GPU計算、區塊鏈和信息安全。

Mansaf Alam是Jamia Millia Islamia大學自然科學學院計算機科學系的教授。他是年輕教師研究員和《應用信息科學期刊》的主編,他的研究方向包括人工智能、大數據分析、機器學習、深度學習、雲計算和數據挖掘。