Advances in Data Science: Symbolic, Complex, and Network Data
暫譯: 數據科學的進展：符號、複雜與網絡數據

Edwin Diday is Emeritus Professor at Paris-Dauphine University-PSL. He helped to introduce the symbolic data analysis paradigm and the dynamic clustering method (opening the path to local models), as well as pyramidal clustering for spatial representation of overlapping clusters.

Rong Guan is Associate Professor at the School of Statistics and Mathematics, Central University of Finance and Economics, Beijing. Her research covers complex and symbolic data analysis and financial distress diagnosis.

Gilbert Saporta is Emeritus Professor at Conservatoire National des Arts et M?tiers, France. His current research focuses on functional data analysis and clusterwise and sparse methods. He is Honorary President of the French Statistical Society.

Huiwen Wang is Professor at the School of Economics and Management, Beihang University, Beijing. Her research covers dimension reduction, PLS regression, symbolic data analysis, compositional data analysis, functional data analysis and statistical modeling methods for mixed data.

Edwin Diday 是巴黎多芬大學-PSL 的名譽教授。他幫助引入了符號數據分析範式和動態聚類方法（為局部模型鋪平了道路），以及用於重疊聚類的空間表示的金字塔聚類。

Rong Guan 是北京中央財經大學統計與數學學院的副教授。她的研究涵蓋複雜和符號數據分析以及財務困境診斷。

Gilbert Saporta 是法國國立工藝學院的名譽教授。他目前的研究重點是功能數據分析以及基於聚類和稀疏方法的研究。他是法國統計學會的名譽會長。

Huiwen Wang 是北京航空航天大學經濟與管理學院的教授。她的研究涵蓋降維、PLS 回歸、符號數據分析、組成數據分析、功能數據分析以及混合數據的統計建模方法。