Recent Trends and Future Challenges in Learning from Data (從數據學習的最新趨勢與未來挑戰)

Davino, Cristina, Palumbo, Francesco, Wilhelm, Adalbert F. X.

Recent Trends and Future Challenges in Learning from Data
  • 出版商: Springer
  • 出版日期: 2024-08-10
  • 售價: $5,560
  • 貴賓價: 9.5 折 $5,282
  • 語言: 英文
  • 頁數: 153
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031544676
  • ISBN-13: 9783031544675

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Highlighting the role of statistics in discovering novel and interesting patterns in the era of big data, it follows the motto of the conference: "Avoiding drowning in the data: recent trends and future challenges in learning from data". The central focus is on multidisciplinary approaches to data analysis, classification, and the interface between computer science, data mining and statistics. Both methodological and applied topics are covered. The former includes supervised and unsupervised techniques with particular emphasis on advances in regression and clustering analysis and constructing composite indicators. The applications are mainly in risk analysis, biology, and education. The volume is organized into four main macro themes: methodological contributions in the social sciences and education, multivariate analysis methods for big data, innovative contributions for applications inspired by biology, and strategies for analyzing complex data in finance.

商品描述(中文翻譯)

本書收錄了在2022年9月14日至16日於義大利那不勒斯舉行的歐洲數據分析會議（ECDA 2022）上所呈現的經過同行評審的選定貢獻。強調統計學在大數據時代發現新穎且有趣模式中的角色，並遵循會議的座右銘：「避免在數據中淹沒：從數據學習的近期趨勢與未來挑戰」。本書的核心重點在於數據分析、分類的多學科方法，以及計算機科學、數據挖掘與統計學之間的接口。涵蓋了方法論和應用主題。前者包括監督式和非監督式技術，特別強調回歸和聚類分析的進展以及構建綜合指標。應用主要集中在風險分析、生物學和教育領域。本卷分為四個主要宏觀主題：社會科學和教育中的方法論貢獻、大數據的多變量分析方法、受生物學啟發的創新應用貢獻，以及分析金融中複雜數據的策略。

作者簡介

Cristina Davino is an Associate Professor in Statistics at the University of Naples Federico II, Italy. Her fields of interest and areas of expertise are multidimensional data analysis, data mining, quantile regression, statistical surveys, quality of life assessment, evaluation of university education processes, construction and validation of composite indicators and analysis of learning processes. She has been involved in many research projects whose results have been disseminated in international journals and conferences.

Francesco Palumbo is a Professor of Statistics at Federico II University of Naples, Italy. He teaches Statistics and Psychometric Statistics in basic and advanced courses. He is the Editor-in-Chief of the Italian Journal of Applied Statistics and an Associate Editor of Computational Statistics. He has collaborated on numerous European projects and has participated in and coordinated several national research projects. His main research interests are in classification and data analysis.

Adalbert Wilhelm holds a Professorship in Statistics at Constructor University, Bremen, Germany. He is also the Vice Dean of the Bremen International Graduate School of Social Sciences (BIGSSS). His main research is on statistical visualization, exploratory data analysis and data mining and his recent work addresses questions of digitalization and big data applied to a broad range of disciplines such as economics, business administration, political science, sociology and psychology.

Hans A. Kestler is currently a Professor and the Head of the Institute of Medical Systems Biology and the Core Unit Bioinformatics within the Faculties of Computer Science and Medicine, Ulm University, Germany. He is also an Associated Group Leader with the Leibniz Institute on Aging, Jena. He has published more than 330 articles in journals, books, and conferences. His research interests include methodological foundations of pattern recognition, bioinformatics, molecular systems biology, and digital health.


作者簡介(中文翻譯)

Cristina Davino 是義大利那不勒斯費德里科二世大學的統計學副教授。她的研究興趣和專業領域包括多維數據分析、數據挖掘、分位數回歸、統計調查、生活品質評估、大學教育過程的評估、綜合指標的建構與驗證以及學習過程的分析。她參與了許多研究專案，其成果已在國際期刊和會議上發表。

Francesco Palumbo 是義大利那不勒斯費德里科二世大學的統計學教授。他在基礎和進階課程中教授統計學和心理計量統計學。他是《意大利應用統計學期刊》的主編，也是《計算統計學》的副編輯。他參與了多個歐洲專案，並參加和協調了幾個國家研究專案。他的主要研究興趣在於分類和數據分析。

Adalbert Wilhelm 擔任德國不來梅的Constructor University的統計學教授。他也是不來梅國際社會科學研究生院（BIGSSS）的副院長。他的主要研究方向是統計視覺化、探索性數據分析和數據挖掘，最近的工作涉及數位化和大數據在經濟學、商業管理、政治學、社會學和心理學等多個學科中的應用問題。

Hans A. Kestler 目前是德國烏爾姆大學醫學系統生物學研究所的教授及所長，並在計算機科學和醫學系內的核心單位生物資訊學擔任職務。他也是萊布尼茲老化研究所的聯合小組領導。他在期刊、書籍和會議上發表了超過330篇文章。他的研究興趣包括模式識別的方法論基礎、生物資訊學、分子系統生物學和數位健康。

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