Big Data, IoT, and Machine Learning: Tools and Applications
暫譯: 大數據、物聯網與機器學習:工具與應用
Rashmi Agrawal (Editor), Marcin Paprzycki (Editor), Neha Gupta (Editor)
- 出版商: CRC
- 出版日期: 2025-03-12
- 售價: $2,610
- 貴賓價: 9.5 折 $2,480
- 語言: 英文
- 頁數: 340
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0367531216
- ISBN-13: 9780367531218
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相關分類:
大數據 Big-data、Machine Learning、物聯網 IoT
海外代購書籍(需單獨結帳)
商品描述
The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools.
This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them.
Features
- Addresses the complete data science technologies workflow
- Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning
- Covers data processing and security solutions in IoT and Big Data applications
- Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems
- Presents security issues and data migration techniques of NoSQL databases
商品描述(中文翻譯)
這本書的理念是簡化有志讀者和研究者理解大數據、物聯網(IoT)和機器學習的旅程。它還包括在工程、計算機科學、資訊安全和雲計算領域中使用現代工具的各種實時/離線應用和案例研究。
本書分為兩個部分:第一部分包含與機器學習應用相關的主題,第二部分則探討大數據、雲端和物聯網的問題。這將所有相關技術整合成一個單一來源,使本科生、研究生、研究人員、學術界人士和業界人士能夠輕鬆理解。
特色
- 涵蓋完整的數據科學技術工作流程
- 探索基本和高級概念及服務,作為業界人士的手冊,同時幫助初學者理解機器學習的基本和進階方面
- 涵蓋物聯網和大數據應用中的數據處理和安全解決方案
- 提供自適應、穩健、可擴展和可靠的應用,以開發日常問題的解決方案
- 提出NoSQL數據庫的安全問題和數據遷移技術
作者簡介
Rashmi Agrawal is a PhD and UGC-NET qualified, with 18-plus years of experience in teaching and research. She is presently working as a Professor in the Department of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad. She has authored/co-authored more than 50 research papers, in various peer-reviewed national/international journals and conferences. She has also edited/authored books and chapters with national/international publishers (IGI global, Springer, Elsevier, CRC Press, Apple academic press). She has also obtained two patents in renewable energy. Currently she is guiding PhD scholars in Sentiment Analysis, Educational Data Mining, Internet of Things, Brain Computer Interface, Web Service Architecture and Natural language Processing. She is associated with various professional bodies in different capacities, a Senior Member of IEEE, a Life Member of Computer Society of India, IETA, ACM CSTA and a Senior Member of Science and Engineering Institute (SCIEI).
Marcin Paprzycki is an Associate Professor at the Systems Research Institute, Polish Academy of Sciences. He has an MS from Adam Mickiewicz University in Poznań, Poland, a PhD from Southern Methodist University in Dallas, Texas, and a Doctor of Science from the Bulgarian Academy of Sciences. He is a senior member of IEEE, a senior member of ACM, a Senior Fulbright Lecturer, and an IEEE CS Distinguished Visitor. He has contributed to more than 450 publications and was invited to the program committees of over 500 international conferences. He is on the editorial boards of 15 journals.
Neha Gupta has completed her PhD at Manav Rachna International University, and she has a total of 14-plus years of experience in teaching and research. She is a Life Member of ACM CSTA, Tech Republic and a Professional Member of IEEE. She has authored and co-authored 34 research papers in SCI/SCOPUS/peer reviewed journals (Scopus indexed) and IEEE/IET conference proceedings in the areas of Web Content Mining, Mobile Computing and Cloud Computing. She has published books with publishers such as IGI Global and Pacific Book International and has also authored book chapters with Elsevier, CRC Press and IGI Global USA. Her research interests include ICT in Rural Development, Web Content Mining, Cloud Computing, Data Mining and NoSQL Databases. She is a Technical Programme Committee (TPC) member in various conferences across the globe. She is an active reviewer for the International Journal of Computer and Information Technology and in various IEEE Conferences.
作者簡介(中文翻譯)
拉什米·阿格拉瓦爾擁有博士學位並通過UGC-NET考試,擁有超過18年的教學和研究經驗。她目前在法里達巴德的Manav Rachna國際研究與學院的計算機應用系擔任教授。她已在各種同行評審的國內/國際期刊和會議上發表/合著超過50篇研究論文。她還與國內/國際出版商(如IGI Global、Springer、Elsevier、CRC Press、Apple Academic Press)編輯/撰寫書籍和章節。她在可再生能源方面也獲得了兩項專利。目前,她正在指導博士生進行情感分析、教育數據挖掘、物聯網、大腦計算機介面、網絡服務架構和自然語言處理的研究。她以不同身份與多個專業機構相關聯,是IEEE的高級會員、印度計算機學會的終身會員、IETA、ACM CSTA的會員,以及科學與工程研究所(SCIEI)的高級會員。
馬爾欽·帕普日基是波蘭科學院系統研究所的副教授。他擁有波蘭波茲南的亞當·密茲基維奇大學的碩士學位、德克薩斯州達拉斯的南方衛理公會大學的博士學位,以及保加利亞科學院的科學博士學位。他是IEEE的高級會員、ACM的高級會員、高級富布賴特講師,以及IEEE計算機學會的傑出訪客。他已發表超過450篇出版物,並受邀參加500多個國際會議的程序委員會。他是15本期刊的編輯委員會成員。
內哈·古普塔在Manav Rachna國際大學完成了她的博士學位,擁有超過14年的教學和研究經驗。她是ACM CSTA的終身會員、Tech Republic的會員,以及IEEE的專業會員。她在Web內容挖掘、移動計算和雲計算領域的SCI/SCOPUS/同行評審期刊(Scopus索引)和IEEE/IET會議論文集中發表和合著了34篇研究論文。她與IGI Global和Pacific Book International等出版商出版了書籍,並與Elsevier、CRC Press和IGI Global USA合著了書籍章節。她的研究興趣包括農村發展中的ICT、Web內容挖掘、雲計算、數據挖掘和NoSQL數據庫。她是全球多個會議的技術程序委員會(TPC)成員。她還是《國際計算機與信息技術期刊》和多個IEEE會議的活躍審稿人。