| Dewey Class |
519.5 |
| Title |
Data Analysis and Rationality in a Complex World ([EBook] /) / edited by Theodore Chadjipadelis, Berthold Lausen, Angelos Markos, Tae Rim Lee, Angela Montanari, Rebecca Nugent. |
| Added Personal Name |
Chadjipadelis, Theodore |
| Lausen, Berthold |
| Markos, Angelos |
| Lee, Tae Rim |
| Montanari, Angela |
| Nugent, Rebecca |
| Other name(s) |
SpringerLink (Online service) |
| Edition statement |
1st ed. 2021. |
| Publication |
Cham : : Springer International Publishing : : Imprint: Springer, , 2021. |
| Physical Details |
XVII, 349 p. 65 illus., 37 illus. in color. : online resource. |
| Series |
Studies in Classification, Data Analysis, and Knowledge Organization 2198-3321 |
| ISBN |
9783030601041 |
| Summary Note |
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.: |
| Contents note |
Chapter 1 - PerioClust: a simple hierarchical agglomerative clustering approach including constraints (Lise Bellanger, Arthur Coulon and Philippe Husi) -- Chapter 2 - What was really the case? Party competition in Europe at the occasion of the 2019 European Parliament Elections (Theodore Chadjipadelis and Eftichia Teperoglou) -- Chapter 3 - A Fast Electric Vehicle Planner Using Clustering (Jaël Champagne Gareau, Éric Beaudry and Vladimir Makarenkov) -- Chapter 4 - A generalized coefficient of determination for mixtures of regressions (Roberto Di Mari, Salvatore Ingrassia and Antonio Punzo) -- Chapter 5 - Distance measurement when fuzzy numbers are used. Survey of selected problems and procedures (Józef Dziechciarz and Marta Dziechciarz-Duda) -- Chapter 6 - Performance measures in discrete supervised classification (Ana Sousa Ferreira and Anabela Marques) -- Chapter 7 - Using EVT to assess risk on energy market (Alicja Ganczarek-Gamrot, Dominik Krezołek and Grazyna Trzpiot) -- Chapter 8 - Measuring and testing mutual dependence for functional data (Tomasz Górecki, Mirosław Krzysko and Waldemar Wołynski) -- Chapter 9 - Single imputation via chunk-wise PCA (Alfonso Iodice D’Enza, Francesco Palumbo and Angelos Markos) -- Chapter 10 - Clustering Mixed-Type Data: a benchmark study on KAMILA and K-prototypes (Jarrett Jimeno, Madhumita Roy and Cristina Tortora) -- Chapter 11 - Exploring social attitudes towards the green infrastructure plan of the Drama city in Greece (Vassiliki Kazana, Angelos Kazaklis, Dimitrios Raptis, Efthimia Chrisanthidou, Stella Kazakli and Nefeli Zagourgini) -- Chapter 12 - Spatial perception for structured and unstructured data in topological data analysis (Yoshitake Kitanishi, Fumio Ishioka, Masaya Iizuka, and Koji Kurihara) -- Chapter 13 - Text, Content and Data Analysis of Journal Articles: the field of International Relations (Nikos Koutsoupias and Kyriakos Mikelis) -- Chapter 14 - Quantile measures of extreme risk on metals market (Dominik Krezołek and 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 - Classification through 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 (Łukasz Smaga) -- Chapter 28 - Flexible Clustering (Sokołowski Andrzej and Małgorzata 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 - Technological innovation 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). |
| Mode of acces to digital resource |
Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). |
| Internet Site |
https://doi.org/10.1007/978-3-030-60104-1 |
| Links to Related Works |
Subject References:
Authors:
Corporate Authors:
Series:
Classification:
|
|---|
