Demystifying Big Data Analytics for Industries and Smart Societies

This book aims to provide readers with a comprehensive guide to the fundamentals of big data analytics and its applications in various industries and smart societies. What sets this book apart is its in-depth coverage of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems for precision agriculture. The book also delves into the use of big data analytics in healthcare, energy management, and agricultural development, among others. The authors have used clear and concise language, along with relevant examples and case studies, to help readers understand the complex concepts involved in big data analytics.

Key Features:

• Comprehensive coverage of the fundamentals of big data analytics
• In-depth discussion of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems
• Practical examples and case studies to help readers understand complex concepts
• Coverage of the use of big data analytics in various industries, including healthcare, energy management, and agriculture
• Discussion of challenges and legal frameworks involved in big data analytics
• Clear and concise language that is easy to understand

This book is a valuable resource for business owners, data analysts, students, and anyone interested in the field of big data analytics. It provides readers with the tools they need to leverage the power of big data and make informed decisions that can help their organizations succeed. Whether you are new to the field or an experienced practitioner, "Demystifying Big Data Analytics for Industries and Smart Societies" is must-read.

本書旨在為讀者提供一本全面指南，介紹大數據分析的基礎知識以及其在各行業和智慧社會中的應用。這本書的獨特之處在於深入探討了大數據分析的不同方面，包括機器學習算法、空間數據分析以及基於物聯網的智慧系統在精準農業中的應用。該書還深入探討了大數據分析在醫療保健、能源管理和農業發展等領域的應用。作者使用清晰簡潔的語言，並提供相關的例子和案例研究，幫助讀者理解大數據分析中涉及的複雜概念。

主要特點：
- 全面介紹大數據分析的基礎知識
- 深入討論大數據分析的不同方面，包括機器學習算法、空間數據分析和基於物聯網的智慧系統
- 提供實際例子和案例研究，幫助讀者理解複雜概念
- 探討大數據分析在醫療保健、能源管理和農業等各行業的應用
- 討論大數據分析所涉及的挑戰和法律框架
- 使用清晰簡潔的語言，易於理解

本書對於企業主、數據分析師、學生以及對大數據分析領域感興趣的人來說是一個寶貴的資源。它為讀者提供了利用大數據的工具，幫助他們做出明智的決策，推動組織的成功。無論您是新手還是有經驗的從業者，《解密大數據分析在各行業和智慧社會中的應用》都是必讀之作。

Keshav Kaushik is an experienced educator with over eight years of teaching and research experience in Cybersecurity, Digital Forensics, and the Internet of Things. He is working as an Assistant Professor (Senior Scale) in the systemic cluster under the School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India. He has published 80+ research papers in International Journals and has presented at reputed International Conferences. He is a Certified Ethical Hacker (CEH) v11, CQI and IRCA Certified ISO/IEC 27001:2013 Lead Auditor, Quick Heal Academy Certified Cyber Security Professional (QCSP), and IBM Cybersecurity Analyst. He acted as a keynote speaker and delivered 50+ professional talks on various national and international platforms. He has edited over ten books with reputed international publishers like Springer, Taylor and Francis, IGI Global, Bentham Science, etc. He has chaired various special sessions at international conferences and also served as a reviewer in peer-reviewed journals and conferences.

Prof (Dr.) Mamta Dahiya has over 21 years of experience in the academia, industry, and research. She is a Professor, Department of Computer Science & Engineering at Manav Rachna International Institute of Research & Studies, Faridabad, India. She was closely associated with research and development in the field of spatial data retrieval and related security. Building her research in Pattern Recognition, Data Science, and Information Security focusing on multiple aspects of societal problems, she has almost 85 research publications in various international and national journals of repute and conferences. She has multiple Indian and international patents granted and pub- lished. She chaired technical sessions in multiple conferences under the umbrella of Elsevier, IEEE, and TQP. She has completed multiple research projects funded by national and international agencies. She has recently completed the Consultancy on "Asian Metropolis" services to carry out the full process of research, analysis, and elaboration of the contents of the publication "Asian metropolitan report" with Metropolis, World Association of the Major Metropolises, Barcelona, Spain.

Dr. Ashutosh Dhar Dwivedi is a Postdoctoral Researcher in Cybersecurity Group, Aalborg University, Copenhagen, Denmark. His research field includes Machine Learning, Cryptography, Security and Blockchain. He completed his PhD from the Polish Academy of Sciences, Poland in March 2020. He received the B.Sc. (Maths) degree from Ewing Christian College (an autonomous college of the University of Allahabad), Allahabad, India, and the MCA degree from the Amity School of Computer Sciences, Noida, India. Prior to joining Aalborg University, he worked as Postdoctoral Researcher at Department of Digitalization, Copenhagen Business School, Denmark, DTU Compute (Cyber Security Section), Technical University of Denmark, full time Visiting Researcher at the University of Waterloo, Ontario, Canada, Research Associate at the Brandon University, Manitoba, Canada, Research Employee and PhD at Polish Academy of Sciences, Warsaw, Poland and Research Scholar at the Military University of Technology, Warsaw, Poland. He has a rich industry experience as well. He was an Intern (under his master's project) with the prestigious organization "Center for Railway Information Systems, New Delhi," governed by the Ministry of Railways, India. He was with organizations related to software development projects for two years. In 2015, he moved to Poland and started a career in cryptography research.

Keshav Kaushik是一位經驗豐富的教育工作者，在網絡安全、數字取證和物聯網領域擁有超過八年的教學和研究經驗。他目前在印度德拉敦的石油和能源研究大學計算機科學學院的系統集群中擔任高級助理教授。他在國際期刊上發表了80多篇研究論文，並在知名國際會議上進行了演講。他是一位經過認證的道德黑客（CEH）v11，CQI和IRCA認證的ISO/IEC 27001:2013主任審核員，Quick Heal Academy認證的網絡安全專業人員（QCSP）和IBM網絡安全分析師。他曾擔任主題演講嘉賓，在國內外各種平台上發表了50多場專業演講。他與Springer、Taylor and Francis、IGI Global、Bentham Science等知名國際出版商合作編輯了十多本書籍。他主持了國際會議的多個特別會議，並在同行評審的期刊和會議中擔任審稿人。

Mamta Dahiya教授在學術界、工業界和研究領域擁有超過21年的經驗。她是印度法里達巴德Manav Rachna國際研究與研究學院計算機科學與工程系的教授。她密切關注空間數據檢索和相關安全領域的研究和開發。她的研究涉及模式識別、數據科學和信息安全，關注社會問題的多個方面，她在多個國際和國內知名期刊和會議上發表了近85篇研究論文。她獲得了多個印度和國際專利，並在多個Elsevier、IEEE和TQP的會議上擔任技術會議主席。她完成了多個由國家和國際機構資助的研究項目。她最近完成了與西班牙巴塞羅那的世界主要大都會協會Metropolis合作的“亞洲大都會”服務的諮詢工作，該諮詢工作包括進行研究、分析和撰寫“亞洲大都會報告”的內容。

Ashutosh Dhar Dwivedi博士是丹麥哥本哈根奧爾堡大學網絡安全研究小組的博士後研究員。他的研究領域包括機器學習、加密、安全和區塊鏈。他於2020年3月從波蘭科學院獲得博士學位。他在印度Allahabad的Ewing Christian College（一所自治學院）獲得了B.Sc.（數學）學位，並在印度Noida的Amity計算機科學學院獲得了MCA學位。在加入奧爾堡大學之前，他曾在丹麥哥本哈根商學院數字化部門、丹麥技術大學DTU Compute（網絡安全部門）、加拿大安大略省滑鐵盧大學、加拿大曼尼托巴大學和波蘭科學院等地擔任博士後研究員、訪問研究員和研究學者。他還擁有豐富的行業經驗。他曾在印度鐵路部下屬的著名組織“鐵路信息系統中心”實習（在碩士項目期間）。他曾在與軟件開發項目相關的組織工作了兩年。2015年，他移居波蘭並開始了密碼學研究的職業生涯。