Spatiotemporal Data Analytics and Modeling: Techniques and Applications
暫譯: 時空數據分析與建模：技術與應用

隨著科技的進步和數位服務的轉型，世界變得越來越互聯且複雜。各種型態的感測器快速生成大量異質數據。結合人工智慧、機器學習和物聯網，潛在的關係和新見解可以被捕捉，幫助優化計劃和資源利用、改善基礎設施以及提升服務質量。

「空間數據管理系統」是一種處理與空間有關的數據的方法。這可能包括地圖、衛星影像和GPS數據等。時間數據管理系統則是設計用來管理具有時間組件的數據的系統。這可能包括天氣數據、金融數據和社交媒體數據等。在空間和時間數據管理系統中使用的一些先進技術包括地理空間索引，以便高效查詢和檢索基於位置的數據；時間序列分析，用於理解和預測數據集中如天氣或金融趨勢的時間模式；機器學習算法，用於揭示大型和複雜數據集中的隱藏模式和相關性；以及與物聯網（IoT）技術的整合，以實現實時數據收集和分析。這些技術結合人工智慧，使得提取潛在關係和見解成為可能，從而優化計劃、改善基礎設施並提升服務質量。

本書提供有關人工智慧和機器學習在時空數據分析和建模中的最先進技術的基本技術知識、最佳實踐和案例研究。本書由各領域的專家撰寫，包含幾個章節，專注於多個應用，包括推薦系統、大數據分析、供應鏈和電子商務、能源消耗和需求預測，以及交通和環境監測。它可以作為研究生層級的學術參考，或供科學和工程相關領域的專業人士使用，如數據科學和工程、大數據分析和挖掘、人工智慧、機器學習和深度學習、雲計算以及物聯網。

Dr. John A is currently working as a postdoctoral research fellow at AI and Sustainable Development Research Lab, National Taiwan University, Taipei, Taiwan. Pondicherry University awarded him an undergraduate degree in Computer Science and Engineering Discipline. He earned a postgraduate degree (MTech. in Computer Science and Engineering at Pondicherry University, India). In 2019, he completed his PhD in Computer Science and Engineering at Manonmaniam Sundaranar University, India. His research areas of interest are real-time applications, machine learning, data analysis and prediction, and spatial and temporal data management.

Satheesh Abimannan is currently a professor and deputy director in Amity School Engineering and Technology at Amity University, Mumbai. He served as a postdoctoral research fellow at National Taipei University, Taiwan, for one year. He received the ME degree in Computer Science and Engineering from the College of Engineering, Guindy, Anna University, Chennai, and a PhD degree in Computer Science and Engineering from the Periyar Maniammai University. He has more than 20 years of teaching, research, and administrative experience. He received an ISTE-Young Scientist Award in 2010. He has published more than 40 research articles in highly reputed international journals and visited Singapore, China, Taiwan, and Japan to present his research article at international conferences. His research interest includes deep learning, cloud computing, big data analytics, and information security.

El-Sayed M. El-Alfy (Senior Member, IEEE) is currently a professor with the Information and Computer Science Department, fellow of the SDAIA-KFUPM Joint Research Center for Artificial Intelligence, affiliate of Interdisciplinary Research Center on Intelligent Secure Systems, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. He has over 25 years of experience in industry and academia, involving research, teaching, supervision, curriculum design, program assessment, and quality assurance in higher education. He is an approved ABET/CSAB program evaluator (PEV), and a reviewer and consultant for NCAAA and several universities and research agents in various countries. He is an active researcher with interests in fields related to machine learning, computer vision, nature-inspired computing and applications to data science and cybersecurity analytics, pattern recognition, multimedia forensics, and security systems. He has published numerously in peer-reviewed international journals and conferences, edited a number of books published by reputable international publishers, attended and contributed in the organization of many world-class international conferences, and supervised master and PhD students. He was also a member of ACM, the IEEE Computational Intelligence Society, the IEEE Computer Society, the IEEE Communication Society, and the IEEE Vehicular Technology Society. His work has been internationally recognized and received a number of awards. He has served as a guest editor for a number of special issues in international journals and has been on the editorial board of a number of premium international journals, including IEEE/CAA Journal of Automatica Sinica, IEEE Transactions on Neural Networks and Learning Systems, International Journal of Trust Management in Computing and Communications, and Journal of Emerging Technologies in Web Intelligence (JETWI).

Yue-Shan Chang (Senior Member, IEEE) received the PhD degree from the Department of Computer and Information Science, National Chiao Tung University, in 2001. In August 1992, he joined the Department of Electronic Engineering, Ming Hsing University of Science and Technology. In August 2004, he joined the Department of Computer Science and Information Engineering, National Taipei University, Taipei, Taiwan. In August 2010, he became a professor. He has been serving as the chairman of the Department, since 2014, and the dean of Student Affairs, since 2018. His research interests include information and knowledge fusion, big data analytics, cloud computing, intelligent computing, and the Internet of Things.

約翰·A博士目前擔任國立台灣大學人工智慧與可持續發展研究實驗室的博士後研究員。他在龐迪榭里大學獲得計算機科學與工程學士學位，並在同一所大學獲得計算機科學與工程碩士學位（MTech.）。他於2019年在印度的馬農馬尼亞姆·蘇達拉納大學完成計算機科學與工程博士學位。他的研究興趣包括即時應用、機器學習、數據分析與預測，以及空間和時間數據管理。

薩提什·阿比馬南目前是孟買阿米提大學阿米提工程與技術學院的教授及副院長。他曾在國立台北大學擔任博士後研究員一年。他在印度的安娜大學金迪工程學院獲得計算機科學與工程碩士學位，並在佩里亞·馬尼亞邁大學獲得計算機科學與工程博士學位。他擁有超過20年的教學、研究和行政經驗，並於2010年獲得ISTE青年科學家獎。他在多個國際知名期刊上發表了超過40篇研究文章，並曾前往新加坡、中國、台灣和日本參加國際會議發表研究文章。他的研究興趣包括深度學習、雲計算、大數據分析和資訊安全。

艾爾·薩耶德·M·艾爾·阿爾菲（IEEE資深會員）目前是沙烏地阿拉伯法赫德石油與礦業大學（KFUPM）資訊與計算機科學系的教授，並擔任SDAIA-KFUPM人工智慧聯合研究中心的研究員，及智能安全系統跨學科研究中心的成員。他在產業和學術界擁有超過25年的經驗，涉及研究、教學、指導、課程設計、計畫評估和高等教育的質量保證。他是經認可的ABET/CSAB計畫評估員（PEV），並擔任NCAAA及多所大學和研究機構的審稿人和顧問。他是一位活躍的研究者，研究領域包括機器學習、計算機視覺、自然啟發計算及其在數據科學和網絡安全分析、模式識別、多媒體取證和安全系統中的應用。他在同行評審的國際期刊和會議上發表了大量文章，編輯了多本由知名國際出版社出版的書籍，參加並貢獻於多個世界級國際會議的組織，並指導碩士和博士生。他曾是ACM、IEEE計算智能學會、IEEE計算機學會、IEEE通信學會和IEEE車輛技術學會的成員。他的工作在國際上獲得認可並獲得多項獎項。他曾擔任多個國際期刊特刊的客座編輯，並在多本高端國際期刊的編輯委員會中任職，包括IEEE/CAA Journal of Automatica Sinica、IEEE Transactions on Neural Networks and Learning Systems、International Journal of Trust Management in Computing and Communications和Journal of Emerging Technologies in Web Intelligence（JETWI）。

張月珊（IEEE資深會員）於2001年獲得國立交通大學計算機與資訊科學系的博士學位。1992年8月，他加入明新科技大學電子工程系。2004年8月，他加入國立台北大學計算機科學與資訊工程系。2010年8月，他成為教授。自2014年以來，他擔任系主任，自2018年以來擔任學生事務處處長。他的研究興趣包括資訊與知識融合、大數據分析、雲計算、智能計算和物聯網。