Classification and Data Science in the Digital Age
暫譯: 數位時代的分類與資料科學

Brito, Paula, Dias, José G., Lausen, Berthold

Classification and Data Science in the Digital Age
  • 出版商: Springer
  • 出版日期: 2023-12-08
  • 售價: $1,800
  • 貴賓價: 9.5 折 $1,710
  • 語言: 英文
  • 頁數: 416
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031090330
  • ISBN-13: 9783031090332
  • 相關分類: Data Science、Machine Learning

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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.




商品描述(中文翻譯)

本開放存取書籍所收錄的貢獻專注於現代數據科學與分類的方法，並展示一系列的實際應用。涵蓋的研究主題包括統計推斷與建模、聚類與降維、功能數據分析、時間序列分析以及網絡分析。這些應用反映了在醫學、行銷、遺傳學、工程和教育等多個領域的新分析。

本書包含在2022年7月19日至23日於葡萄牙波爾圖舉行的第17屆國際分類學會聯合會（IFCS 2022）會議上發表的選定且經過同行評審的論文。IFCS聯合了各個分類學會，而IFCS雙年會則將數據科學、分類和機器學習領域的研究者和利益相關者聚集在一起。它提供了一個展示高品質理論與應用作品的論壇，並促進跨學科研究與國際合作。目標讀者為尋求數據科學與分類領域最新發展和應用的研究者和實務工作者。

作者簡介

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.

作者簡介(中文翻譯)

保拉·布里托是波爾圖大學經濟學院的教授，也是葡萄牙INESC TEC人工智慧與決策支持研究小組（LIAAD）的成員。她擁有巴黎多芬大學的應用數學博士學位，以及波爾圖大學的應用數學資格認證。她的研究專注於多維複雜數據的分析，這些數據被稱為符號數據，並為此開發統計方法和多變量分析方法論。

何塞·G·迪亞斯是葡萄牙里斯本大學學院（Iscte）的副教授，並擁有資格認證。他擁有格羅寧根大學的經濟學博士學位。在Iscte，他目前擔任定量方法系的副主任以及數據分析研究小組的協調員。他曾擔任葡萄牙分類與數據分析協會（CLAD）的會長。他在聚類領域是一位活躍的研究者。

貝爾托德·勞森是英國科爾切斯特埃塞克斯大學數學科學系的數據科學全職教授，曾於2018年至2019年擔任國際分類學會聯合會（IFCS）會長，並於2013年至2019年擔任數據科學學會（GfKl）會長，還曾於2015年至2018年擔任歐洲數據科學協會（EuADS）的創始副會長。他的研究興趣包括人工智慧、生物統計學、分類、臨床研究、數據科學和機器學習。

安吉拉·蒙塔納里是意大利博洛尼亞大學統計科學系的全職教授，曾任該系主任，於2020年至2021年擔任國際分類學會聯合會（IFCS）會長，並於2007年至2009年擔任意大利統計學會分類小組（CLADAG）會長。她的研究興趣包括監督式和非監督式分類、維度縮減、數據科學和機器學習。

瑞貝卡·紐根特是美國賓夕法尼亞州匹茲堡的統計與數據科學系的史蒂芬·E·和喬伊斯·費恩伯格教授，並擔任該系主任。她因在統計教育創新方面獲得ASA沃勒獎，並擔任Springer Texts in Statistics書系的共同編輯。她專注於聚類和分類方法，特別強調大型高維記錄鏈接應用。

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