Demystifying Big Data Analytics for Industries and Smart Societies
暫譯: 揭開大數據分析在產業與智慧社會中的神秘面紗

這本書旨在為讀者提供一個全面的指南，介紹大數據分析的基本原理及其在各行各業和智慧社會中的應用。這本書的特色在於深入探討大數據分析的不同面向，包括機器學習演算法、空間數據分析以及基於物聯網的精準農業智慧系統。書中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，並結合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。

主要特色：
- 全面涵蓋大數據分析的基本原理
- 深入討論大數據分析的不同面向，包括機器學習演算法、空間數據分析和基於物聯網的智慧系統
- 實用的例子和案例研究，幫助讀者理解複雜概念
- 涵蓋大數據分析在各行各業中的應用，包括醫療保健、能源管理和農業
- 討論大數據分析中面臨的挑戰和法律框架
- 清晰簡潔的語言，易於理解

這本書是商業擁有者、數據分析師、學生以及任何對大數據分析領域感興趣的人的寶貴資源。它為讀者提供了利用大數據力量所需的工具，幫助他們做出明智的決策，促進組織的成功。無論您是該領域的新手還是經驗豐富的從業者，《為行業和智慧社會解密大數據分析》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，在網路安全、數位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與能源研究大學計算機科學學院的系統集群擔任助理教授（高級職級）。他在國際期刊上發表了80多篇研究論文，並在多個知名國際會議上進行報告。他是認證的道德駭客（CEH）v11、CQI和IRCA認證的ISO/IEC 27001:2013首席審核員、Quick Heal Academy認證的網路安全專業人員（QCSP）以及IBM網路安全分析師。他曾擔任主題演講者，在各種國內和國際平台上發表了50多場專業演講。他編輯了十多本與知名國際出版社如Springer、Taylor and Francis、IGI Global、Bentham Science等合作的書籍。他在國際會議上主持了多個專題會議，並擔任同行評審期刊和會議的審稿人。

Prof (Dr.) Mamta Dahiya 在學術界、產業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國際研究與學院計算機科學與工程系的教授。她與空間數據檢索及相關安全領域的研究與開發密切相關。她的研究集中於模式識別、數據科學和資訊安全，針對社會問題的多個方面，擁有近85篇在各種國際和國內知名期刊及會議上發表的研究論文。她擁有多項印度及國際專利，並已獲得和發表。她在多個會議中主持技術會議，並在Elsevier、IEEE和TQP等機構的會議中擔任主席。她完成了多個由國內外機構資助的研究項目。最近，她完成了與「亞洲大都市」服務的顧問工作，進行了「亞洲大都市報告」的研究、分析和內容詳細說明的全過程，該報告由西班牙巴塞隆納的世界主要大都市協會發佈。

Dr. Ashutosh Dhar Dwivedi 是丹麥奧爾堡大學網路安全小組的博士後研究員。他的研究領域包括機器學習、密碼學、安全性和區塊鏈。他於2020年3月在波蘭科學院獲得博士學位。他在印度阿拉哈巴德的Ewing Christian College（阿拉哈巴德大學的自治學院）獲得數學學士學位，並在印度諾伊達的Amity School of Computer Sciences獲得碩士學位。在加入奧爾堡大學之前，他曾在丹麥哥本哈根商學院數位化系擔任博士後研究員、丹麥技術大學DTU Compute（網路安全部門）工作、在加拿大安大略省滑鐵盧大學擔任全職訪問研究員、在加拿大曼尼托巴省布蘭登大學擔任研究助理、在波蘭華沙的波蘭科學院擔任研究員及博士生，以及在波蘭華沙的軍事技術大學擔任研究學者。他也擁有豐富的產業經驗。他曾在印度鐵路部門管理的「新德里鐵路資訊系統中心」實習（作為碩士專案的一部分）。他在與軟體開發項目相關的組織工作了兩年。2015年，他移居波蘭，開始了密碼學研究的職業生涯。