Principles of Data Science
暫譯: 數據科學原則

本書為讀者提供了對數據科學領域內各種研究領域的深入理解。書中介紹了數據獲取、提取和清理的各種技術，數據總結和建模，數據分析和溝通技術，數據科學工具，深度學習以及各種數據科學應用。研究人員可以從中提取並總結出未來可能的出版物或論文的各種想法和主題。此外，本書有助於數據科學家的準備，並增強他們對該領域的知識。本書提供了一系列在數據科學領域備受推崇的主題的手稿，編輯者均為在數據科學領域擁有豐富經驗的教授。

- 介紹數據科學專家採用的各種技術、方法和算法
- 提供對數據科學認知的詳細解釋，並輔以實際範例
- 提出適合創新數據科學研究和實踐的未來趨勢路線圖

Hamid R. Arabnia received a Ph.D. degree in Computer Science from the University of Kent (England) in 1987. He is currently a Professor (Emeritus) of Computer Science at University of Georgia (Georgia, USA), where he has been since October 1987. His research interests include parallel and distributed processing techniques and algorithms, supercomputing, Data Science (in the context of scalable HPC), imaging science, and other compute intensive problems. His most recent activities include: Studying ways to promote legislation that would prevent cyber-stalking, cyber-harassment, and cyber-bullying. As a victim of cyber-harassment and cyber-bullying, in 2017 and 2018 he won a lawsuit with damages awarded for a total of $3 Million (includes $650K awarded for attorney's costs). Since this court case was one of the few cases of its kind in the United States, this ruling is considered to be important. Prof. Arabnia is Editor-in-Chief of The Journal of Supercomputing (Springer). He is the book series editor-in-chief of "Transactions of Computational Science and Computational Intelligence" (Springer). He is the editor of Computational Science and Computational Intelligence (IEEE CPS). He is a Senior Adviser to a number of corporations and is a Fellow and Adviser of Center of Excellence in Terrorism, Resilience, Intelligence & Organized Crime Research (CENTRIC).

Dr. Kevin Daimi received his Ph.D. from the University of Cranfield, England. He has a long mixture of academia and industry experience. He has worked as Senior Programmer/Systems Analyst, Computer Specialist, and Computer Consultant. He is currently Professor of Computer Science and Software Engineering Programs at the University of Detroit Mercy. His research interests include Data Science, Computer and Network Security with emphasis on vehicle network security, Software Engineering, and Computer Science and Software Engineering Education. Two of his publications received the Best Paper Award from two international conferences. He has been a member of the International Conference on Data Mining (DMIN) since 2004, and a member of the Program Committee for the 2018 International Conference on Data Science (ICDATA'18). He participated in a number of Data Science workshops. Kevin is a Senior Member of the Association for Computing Machinery (ACM), a Senior Member of the Institute of Electrical and Electronic Engineers (IEEE), and a Fellow of the British Computer Society (BCS). He served as a Program Committee member for many international conferences and chaired some of them. In 2103, he received the Faculty Excellence Award from the University of Detroit Mercy.

Robert Stahlbock is a lecturer and researcher at the Institute of Information Systems, University of Hamburg. He is also lecturer at the FOM University of Applied Sciences since 2003. He holds a diploma in Business Administration and a PhD from the UHH. His research interests are focused on managerial decision support and issues related to Maritime Logistics and other industries as well as Operations Research, Information Systems, Business Intelligence and Data Science. He is author of research studies published in international prestigious journals, conference proceedings and book chapters. He serves as guest editor of data science related books, as reviewer for international leading journals as well as a member of conference program committees. He is General Chair of the annual International Conference on Data Science since 2006. He also consults companies in various sectors and projects.

Kai Brüssau is a lecturer and researcher at the Institute of Information Systems, University of Hamburg. He holds a diploma in Business Mathematics and a PhD from the UHH. In his research as well as in his courses he cooperates with Bachelor and Master students in several projects belonging to the fields of Operations Research, Data Science, and Business Analytics. Therefore, the application of optimization and Data Mining methods for solving practical problems is his main interest. In many industry projects he works together with several companies, e.g. a telecommunication provider, port logistics enterprises, and manufacturers. He also focuses on developing new approaches and implementing them in different application systems.

Leonard Heilig is a lecturer and researcher at the Institute of Information Systems, University of Hamburg. He holds a M.Sc. in Information Systems and a PhD from the UHH. His current research interest is centered around Cloud Computing, Operations Research, and Data Science with applications in Logistics and Telecommunications. He spent some time at the University of St Andrews (Scotland, UK) and at the Cloud Computing and Distributed Systems (CLOUDS) Lab at the University of Melbourne, Australia. He served as guest editor for several international journals and consults companies in various sectors and projects.

Dr. Cristina Soviany holds a MSc degree in Computer Science from Polytechnics University of Bucharest, Romania, and a PhD in Applied Sciences from Delft University of Technology, the Netherlands. She is a technologist with strong academic, R&D and more than 14 years of entrepreneurial experience. She has published in many scientific magazines and presented in several international conferences like Money 2020, MRC, MPE, RegTech Summit NY, B-Hive conf., Vendorcom events. Dr. Soviany is currently the co-founder and CEO of Features Analytics, a young AI technology company based in Belgium. She has been awarded the prize for leading the most innovative technology company in Europe in December 2011 and benefits from continuous financial support of Belgian Ministry of Economy and Scientific Research. Prior to starting Features Analytics, Cristina has worked as a senior scientist for Philips Applied Technologies, Netherlands. She then joined the Advanced Medical Diagnostics (AMD), a start-up company based in Belgium, for six years. At AMD, Cristina was in charge of leading the development of an innovative technology for cancer tissue characterization in 3D ultrasound data.

**Hamid R. Arabnia** 於1987年獲得英國肯特大學的計算機科學博士學位。他目前是美國喬治亞州喬治亞大學的計算機科學名譽教授，自1987年10月以來一直在該校任教。他的研究興趣包括平行和分散處理技術與演算法、超級計算、數據科學（在可擴展高效能計算的背景下）、影像科學及其他計算密集型問題。他最近的活動包括：研究促進立法的方法，以防止網路跟蹤、網路騷擾和網路霸凌。作為網路騷擾和網路霸凌的受害者，他在2017年和2018年贏得了一起訴訟，獲得總計300萬美元的賠償（包括65萬美元的律師費用）。由於這起案件是美國少數類似案件之一，因此該裁決被認為具有重要意義。Arabnia教授是《超級計算期刊》（The Journal of Supercomputing，Springer）的主編。他是《計算科學與計算智慧交易》（Transactions of Computational Science and Computational Intelligence，Springer）系列書籍的主編。他還是計算科學與計算智慧（IEEE CPS）的編輯。他是多家公司的高級顧問，也是恐怖主義、韌性、情報與有組織犯罪研究卓越中心（CENTRIC）的研究員和顧問。

**Dr. Kevin Daimi** 於英國克蘭菲爾德大學獲得博士學位。他擁有長期的學術與產業經驗，曾擔任高級程式設計師/系統分析師、計算機專家和計算機顧問。目前，他是底特律慈悲大學計算機科學與軟體工程課程的教授。他的研究興趣包括數據科學、計算機與網路安全（重點在於車輛網路安全）、軟體工程以及計算機科學與軟體工程教育。他的兩篇出版物獲得了兩個國際會議的最佳論文獎。自2004年以來，他一直是國際數據挖掘會議（DMIN）的成員，並且是2018年國際數據科學會議（ICDATA'18）程序委員會的成員。他參加了多個數據科學工作坊。Kevin是計算機協會（ACM）的高級會員，電氣與電子工程師學會（IEEE）的高級會員，以及英國計算機學會（BCS）的研究員。他曾擔任多個國際會議的程序委員會成員，並主持過其中一些會議。在2013年，他獲得了底特律慈悲大學的教學卓越獎。

**Robert Stahlbock** 是漢堡大學資訊系統研究所的講師和研究員。自2003年以來，他也是FOM應用科學大學的講師。他擁有商業管理學位和漢堡大學的博士學位。他的研究興趣集中在管理決策支持以及與海事物流和其他行業相關的問題，還有運籌學、資訊系統、商業智慧和數據科學。他是多篇研究報告的作者，這些報告發表在國際知名期刊、會議論文集和書籍章節中。他擔任數據科學相關書籍的客座編輯，並擔任國際領先期刊的審稿人，以及會議程序委員會的成員。自2006年以來，他一直是年度國際數據科學會議的總主席。他還為各個行業和項目中的公司提供諮詢。

**Kai Brüssau** 是漢堡大學資訊系統研究所的講師和研究員。他擁有商業數學學位和漢堡大學的博士學位。在他的研究和課程中，他與多位本科生和碩士生合作，參與運籌學、數據科學和商業分析等領域的多個項目。因此，應用優化和數據挖掘方法來解決實際問題是他的主要興趣。在許多行業項目中，他與多家公司合作，例如電信提供商、港口物流企業和製造商。他還專注於開發新方法並將其實施於不同的應用系統中。

**Leonard Heilig** 是漢堡大學資訊系統研究所的講師和研究員。他擁有資訊系統碩士學位和漢堡大學的博士學位。他目前的研究興趣集中在雲計算、運籌學和數據科學，並應用於物流和電信領域。他曾在英國聖安德魯斯大學和澳大利亞墨爾本大學的雲計算與分散系統實驗室（CLOUDS）工作過一段時間。他曾擔任多個國際期刊的客座編輯，並為各個行業和項目中的公司提供諮詢。

**Dr. Cristina Soviany** 擁有羅馬尼亞布加勒斯特理工大學的計算機科學碩士學位，以及荷蘭代爾夫特科技大學的應用科學博士學位。她是一位技術專家，擁有強大的學術、研發背景以及超過14年的創業經驗。她在許多科學期刊上發表過文章，並在多個國際會議上發表演講，如Money 2020、MRC、MPE、RegTech Summit NY、B-Hive會議、Vendorcom活動。Soviany博士目前是位於比利時的年輕人工智慧技術公司Features Analytics的共同創辦人和首席執行官。她於2011年12月獲得歐洲最具創新技術公司的獎項，並持續獲得比利時經濟與科學研究部的財政支持。在創辦Features Analytics之前，Cristina曾在荷蘭的飛利浦應用技術公司擔任高級科學家。隨後，她在比利時的一家初創公司高級醫療診斷（AMD）工作了六年。在AMD，Cristina負責領導一項創新的技術開發，旨在對癌症組織在3D超聲數據中的特徵進行表徵。