Classification and Data Science in the Digital Age

The contributions gathered in this open access book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and modeling to clustering and dimension reduction, from functional data analysis to time series analysis, and network analysis. The applications reflect new analyses in a variety of fields, including medicine, marketing, genetics, engineering, and education.

The book comprises selected and peer-reviewed papers presented at the 17th Conference of the International Federation of Classification Societies (IFCS 2022), held in Porto, Portugal, July 19-23, 2022. The IFCS federates the classification societies and the IFCS biennial conference brings together researchers and stakeholders in the areas of Data Science, Classification, and Machine Learning. It provides a forum for presenting high-quality theoretical and applied works, and promoting and fostering interdisciplinary research and international cooperation. The intended audience is researchers and practitioners who seek the latest developments and applications in the field of data science and classification.

這本開放存取的書籍收集了一系列關於現代資料科學和分類的方法，並呈現了一系列實際應用。涵蓋了眾多研究主題，從統計推論和建模到聚類和降維，從函數數據分析到時間序列分析和網絡分析。這些應用反映了在醫學、市場營銷、基因學、工程學和教育等各個領域中的新分析。

本書收錄了在2022年7月19日至23日於葡萄牙波爾圖舉行的國際分類學會議（IFCS 2022）上發表的精選和同行評審的論文。IFCS是分類學會議的聯合組織，IFCS兩年一度的會議匯集了資料科學、分類和機器學習領域的研究人員和利益相關者。它提供了一個展示高質量理論和應用作品、促進和培育跨學科研究和國際合作的論壇。目標讀者是尋求該領域最新發展和應用的研究人員和從業人員。

（本回答由人工智慧助手提供）

Paula Brito is a Professor at the Faculty of Economics at the University of Porto, and a member of the Artificial Intelligence and Decision Support Research Group (LIAAD) of INESC TEC, Portugal. She holds a PhD in Applied Mathematics from the University Paris Dauphine, and a Habilitation in Applied Mathematics from the University of Porto. Her research focuses on the analysis of multidimensional complex data, known as symbolic data, for which she develops statistical approaches and multivariate analysis methodologies.

José G. Dias is an Associate Professor with habilitation at the University Institute of Lisbon (Iscte), Portugal. He holds a PhD in Economics from the University of Groningen. At the Iscte, he is currently Deputy Director of the Department of Quantitative Methods and the coordinator of the research group in Data Analytics. He was President of the Portuguese Association for Classification and Data Analysis (CLAD). He has been an active researcher in the field of clustering.

Berthold Lausen is a Full Professor of Data Science at the Department of Mathematical Sciences at the University of Essex, Colchester, UK, former president of the International Federation of Classification Societies (IFCS) from 2018 to 2019, former president of the Data Science Society (GfKl) from 2013 to 2019 and founding vice president of the European Association for Data Science (EuADS) from 2015 to 2018. His research interests are in the field of artificial intelligence, biostatistics, classification, clinical research, data science and machine learning.
Angela Montanari is a Full Professor of Statistics and past Head of the Department of Statistical Sciences of the University of Bologna, Italy, the president of the International Federation of Classification Societies (IFCS) from 2020 to 2021, and former president of the Classification Group of the Italian Statistical Society (CLADAG) from 2007 to 2009. Her research interests are in the field of supervised and unsupervised classification, dimension reduction, data science and machine learning.
Rebecca Nugent is the Stephen E. and Joyce Fienberg Professor of Statistics & Data Science and Head of the Statistics & Data Science Department, Pittsburgh, PA, USA. She won the ASA Waller Award for Innovation in Statistics Education and serves as co-editor of the book series Springer Texts in Statistics. She focuses on clustering and classification methodology with emphasis on large high-dimensional record linkage applications.

Paula Brito是葡萄牙波爾圖大學經濟學院的教授，也是葡萄牙INESC TEC人工智慧和決策支援研究小組（LIAAD）的成員。她擁有巴黎第九大學應用數學博士學位和波爾圖大學應用數學博士後資格。她的研究專注於多維複雜數據（即符號數據）的分析，並開發統計方法和多變量分析方法。

José G. Dias是葡萄牙里斯本大學學院（Iscte）的資深教授，擁有經濟學博士學位，畢業於格羅寧根大學。在Iscte，他目前擔任量化方法系的副主任和數據分析研究小組的協調人。他曾擔任葡萄牙分類和數據分析協會（CLAD）主席。他一直在聚類領域積極從事研究。

Berthold Lausen是英國埃塞克斯大學數據科學系的教授，曾任國際分類學會（IFCS）主席（2018年至2019年），德國數據科學協會（GfKl）主席（2013年至2019年）和歐洲數據科學協會（EuADS）創始副主席（2015年至2018年）。他的研究興趣涵蓋人工智慧、生物統計學、分類、臨床研究、數據科學和機器學習。

Angela Montanari是義大利博洛尼亞大學統計科學系的教授，曾任國際分類學會（IFCS）主席（2020年至2021年）和意大利統計學會分類組（CLADAG）主席（2007年至2009年）。她的研究興趣涵蓋監督和非監督分類、降維、數據科學和機器學習。

Rebecca Nugent是美國賓夕法尼亞州匹茲堡市統計與數據科學系的Stephen E. and Joyce Fienberg教授兼系主任。她獲得了ASA Waller統計教育創新獎，並擔任Springer Texts in Statistics書系的共同編輯。她的研究重點是聚類和分類方法，尤其是大型高維度記錄連結應用。