Data Analysis and Rationality in a Complex World

Grazyna Trzpiot).- Chapter 15 - Evaluation of Text Clustering Methods and their Dataspace Embeddings: an Exploration (Alain Lelu and Martine Cadot).- Chapter 16 - Specification of Basis Spacing for Process Convolution Gaussian Process Models (Waley Liang and Herbert Lee).- Chapter 17 - Estimation of Classification Rules from Partially Classified Data (Geoffrey McLachlan and Daniel Ahfock).- Chapter 18 - Correspondence Analysis and Kriging: Projection of quantitative information on the factorial maps (George Menexes and Thomas Koutsos).- Chapter 19 - Intertemporal exploratory analysis of e-commerce from Greek households from official statistics  data (Stratos Moschidis and Athanasios Thanopoulos).- Chapter 20 - Benchmarking in cluster analysis: a study on Spectral Clustering, DBSCAN, and K-means (Nivedha Murugesan, Irene Cho, and Cristina Tortora).- Chapter 21 - Detection of Topics and Time Series Variation in Consumer Web Communication Data (Atsuho Nakayama).- Chapter 22 - Classificationthrough graphical models: Evidences from the EU-SILC data (Federica Nicolussi, Agnese Maria Di Brisco and Manuela Cazzaro).- Chapter 23 - A simulation study for the identification of missing data mechanisms using visualisation (Johané Nienkemper-Swanepoel, Niël le Roux and Sugnet Gardner-Lubbe).- Chapter 24 - Triplet Clustering of One-Mode Two-Way Proximities (Akinori Okada and Satoru Yokoyama).- Chapter 25 - First-time Voters in Greece: Views and Attitudes of Youth on Europe and Democracy (Georgia Panagiotidou and Theodore Chadjipadelis).- Chapter 26 - Comparison of hierarchical clustering methods for binary data from SSR and ISSR molecular markers (Emmanouil Pratsinakis, Lefkothea Karapetsi, Symela Ntoanidou, Angelos Markos, Panagiotis Madesis, Ilias Eleftherohorinos and George Menexes).- Chapter 27 - One-way repeated measures ANOVA for functional data (Lukasz Smaga).- Chapter 28 - Flexible Clustering (Sokolowski Andrzej and Malgorzata Markowska).- Chapter 29 - Classification of entrepreneurial regimes: a symbolic polygonal clustering approach (Andrej Srakar and Marilena Vecco).- Chapter 30 - Multidimensional factor and cluster analysis vs embedding-based learning for personalised supermarket offer recommendations (George Stalidis, Theodosios Siomos, Pantelis Kaplanoglou, Alkiviadis Katsalis, Iphigenia Karaveli, Marina Delianidi, and Konstantinos Diamantaras).- Chapter 31 - Motivation for Participating in the Sharing Economy: The Case of Hungary (Roland Szilágyi and Levente Lengyel).- Chapter 32 - Benchmarking Minimax Linkage in Hierarchical Clustering (Xiao Hui Tai and Kayla Frisoli).- Chapter 33 - Clustering Binary Data by Application of Combinatorial Optimization Heuristics (Javier Trejos-Zelaya, Luis Eduardo Amaya-Briceño, Alejandra Jiménez-Romero, Alex Murillo-Fernández, Eduardo Piza-Volio and Mario Villalobos-Arias).- Chapter 34 - Classifying Users through Keystroke Dynamics (Ioannis Tsimperidis, Georgios Peikos and Avi Arampatzis).- Chapter 35 - Technologicalinnovation and the critical raw material stock (Beatrix Varga and Kitti Fodor).- Chapter 36 - Redundancy analysis for binary data based on logistic responses (Jose L. Vicente-Villardon and Laura Vicente-Gonzalez).- Chapter 37 - Predictive power of school motivation clusters in secondary education (Matthijs J. Warrens and W. Miro Ebert).

andedited books.Tae Rim Lee is an Honorary Professor of the Department of Data Science & Statistics, and former Dean of the College of Natural Science at the KNOU in Seoul. She is a biostatistician and her main research interests include tree-based classification model with CART, FACT, NN, kernel discrimination, deep learning for HCC patients, survival tree for OSCC. She was the president of KOSHIS (2009-2011) and KCS (2008-2016), council member of IFCS (2008-now), treasurer (2002-2004), former vice president of KSS (2014-2015), the vice president of IASE under ISI (2011-2013). She was elected as an Executive Board Director of IBS (2015-2021) and Organizing Committee Member of International Prize in Statistical Foundation (2018-now). 




Angela Montanari is a Full Professor of Statistics and Head of the Department of Statistical Sciences at the University of Bologna, Italy, the president of the International Federation of Classification Societies (IFCS) from 2020 to 2021, 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. She has published more than 100 papers in international journals, conference proceedings and edited books.


Rebecca Nugent is the Stephen E. and Joyce Fienberg Professor of Statistics & Data Science, the Associate Department Head and Co-Director of Undergraduate Studies for the Statistics & Data Science Department at the Carnegie Mellon University in Pittsburgh. She is the President-Elect of the International Federation of Classification Societies (2020-2021) and the former President of the Classification Society (of North America) from 2012-2014.  She has won several national and university teaching awards including the American Statistical Association Waller Award for Innovation in Statistics Edu