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The Greek Crisis and Its Cultural Origins
This original analysis of modern Greece’s political culture attempts to present a “total social fact”—a coherent and complex representation of Greek socio-political culture—to identify the cultural causes of Greece’s recent disastrous economic crisis. Using a culturalist frame inspired by the Yale Strong Program, Marangudakis argues that the core cultural orientations of Greece have determined its politics—Greek secular culture flows out of the religion of Eastern Orthodoxy with its mysticism, icons, and general “ortherworldly-nesses.” This theoretical discussion, bringing together Eisenstadt, Michael Mann, Banfield, and Taylor, is complemented by an innovative use of survey data, processed by political scientist and statistician Theodore Chadjipadelis. The carefully deployed quantitative data demonstrate that the culture previously described is actually shared by people living in Greece today. In his sweeping conclusion to this thorough cultural analysis, Marangudakis reflects on the prospects of Greek cultural recovery through the construction of a non-populist civil religion.
Data Analysis and Rationality in a Complex World
This volume presents the latest advances in statistics and data science, including theoretical, methodological and computational developments and practical applications related to classification and clustering, data gathering, exploratory and multivariate data analysis, statistical modeling, and knowledge discovery and seeking. It includes contributions on analyzing and interpreting large, complex and aggregated datasets, and highlights numerous applications in economics, finance, computer science, political science and education. It gathers a selection of peer-reviewed contributions presented at the 16th Conference of the International Federation of Classification Societies (IFCS 2019), which was organized by the Greek Society of Data Analysis and held in Thessaloniki, Greece, on August 26-29, 2019.
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. Th...
Data Science
This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.
The Mathematics Education for the Future Project – Proceedings of the 14th International Conference
This volume contains the papers presented at the International Conference on Challenges in Mathematics Education for the Next Decade held from September 10-15, 2017 in Balatonfüred, Hungary. The Conference was organized by The Mathematics Education for the Future Project – an international educational project founded in 1986.
Handbook of Research on Socio-Economic Sustainability in the Post-Pandemic Era
The COVID-19 pandemic intensifies underlying structural obstacles and systemic inefficiencies. However, it also provokes the accelerated adoption of innovations made possible by the already growing technological development, before being accompanied by necessary institutional and systemic adjustments. This leads to multidimensional crises, while also opening new socio-economic challenges and prospects globally. The Handbook of Research on Socio-Economic Sustainability in the Post-Pandemic Era engages global aspects of the crisis by means of standard and innovative economic policies at the national and international level. It confronts the challenges facing businesses and reveals models of ef...
Data Clustering
In view of the considerable applications of data clustering techniques in various fields, such as engineering, artificial intelligence, machine learning, clinical medicine, biology, ecology, disease diagnosis, and business marketing, many data clustering algorithms and methods have been developed to deal with complicated data. These techniques include supervised learning methods and unsupervised learning methods such as density-based clustering, K-means clustering, and K-nearest neighbor clustering. This book reviews recently developed data clustering techniques and algorithms and discusses the development of data clustering, including measures of similarity or dissimilarity for data clustering, data clustering algorithms, assessment of clustering algorithms, and data clustering methods recently developed for insurance, psychology, pattern recognition, and survey data.
The Politics of Bad Options
The book sheds new light on the history of the Eurozone crisis and provides crucial lessons for the way forward.
Advanced Studies in Classification and Data Science
This edited volume focuses on the latest developments in classification and data science and covers a wide range of topics in the context of data analysis and related areas, e.g. the analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, data visualization, multivariate statistical methods, and various applications to real data in the social sciences, medical sciences, and other disciplines. In addition to sharing theoretical and methodological findings, the book shows how to apply the proposed methods to a variety of problems — e.g. in consumer behavior, decision-making, marketing data and social network structures. Both method...
