Intelligent Data Analytics, Iot, and Blockchain
暫譯: 智能數據分析、物聯網與區塊鏈
Alam, Bashir, Alam, Mansaf
- 出版商: Auerbach Publication
- 出版日期: 2023-10-30
- 售價: $6,820
- 貴賓價: 9.5 折 $6,479
- 語言: 英文
- 頁數: 344
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032442786
- ISBN-13: 9781032442785
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相關分類:
區塊鏈 Blockchain、物聯網 IoT、Data Science
海外代購書籍(需單獨結帳)
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:
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Using image processing with machine learning techniques
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A deep learning approach for facial recognition
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A scalable system architecture for smart cities based on cognitive IoT
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Source authentication of videos shared on social media
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Survey of blockchain in healthcare
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Accident prediction by vehicle tracking
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Big data analytics in disaster management
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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)
本書專注於利用物聯網（IoT）和區塊鏈技術進行數據分析與機器學習。通過檢視這三個領域之間的相互關聯，智能數據分析、物聯網與區塊鏈探討了開發利用這些技術的系統和應用所面臨的機會與挑戰。本書主要為在這個多學科領域工作的研究人員所撰寫，同時也對希望提升其組織決策能力的行業專家和技術高管有所裨益。本書的亮點包括：
- 使用影像處理與機器學習技術
- 用於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
- 社交媒體上分享視頻的來源驗證
- 醫療保健中區塊鏈的調查
- 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、限制與機會
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穎想法和見解。它將這些技術視為跨學科的領域，涉及從數據中提取知識和見解的過程和系統。專注於最近的進展，本書提供了多種針對現實挑戰的解決方案，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，負責計算機工程系並獲得博士學位。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 (Big Data analytics)、人工智慧 (Artificial Intelligence)、平行與分散系統 (parallel and distributed systems)、雲端運算 (Cloud Computing)、機器學習 (machine learning)、GPU 計算 (GPU computing)、區塊鏈 (blockchain) 和資訊安全 (information security)。
Mansaf Alam 是 Jamia Millia Islamia 自然科學院計算機科學系的教授。他是青年教學研究員 (Young Faculty Research Fellow) 及《應用資訊科學期刊》(Journal of Applied Information Science) 的主編，專注於人工智慧 (Artificial Intelligence)、大數據分析 (Big Data analytics)、機器學習 (machine learning)、深度學習 (deep learning)、雲端運算 (Cloud Computing) 和資料探勘 (data mining) 的研究。
