Imatge de la portada

Data Science, Classification, and Artificial Intelligence for Modeling Decision Making

This book gathers selected and peer-reviewed contributions presented at the 18th Conference of the International Federation of Classification Societies (IFCS 2024), held in San José, Costa Rica, July 15–19, 2024. Covering a wide range of topics, it describes modern methods and real-world application...

Descripció completa

Guardat en:
Dades bibliogràfiques
Autor corporatiu: SpringerLink (Online service)
Altres autors: Trejos, Javier (Editor), Chadjipadelis, Theodore (Editor), Grané, Aurea (Editor), Villalobos, Mario (Editor)
Format: Electrònic eBook
Idioma:anglès
Publicat: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edició:1st ed. 2025.
Col·lecció:Studies in Classification, Data Analysis, and Knowledge Organization,
Matèries:
Machine learning.
Multivariate analysis.
Information visualization.
Data mining.
Artificial intelligence > Data processing.
Statistical Learning.
Multivariate Analysis.
Data and Information Visualization.
Machine Learning.
Data Mining and Knowledge Discovery.
Data Science.
Accés en línia:https://doi.org/10.1007/978-3-031-85870-3
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
Taula de continguts:
  • Preface
  • Acknowledgements
  • G. Afriyie, D. Hughes, A. Nettel Aguirre, N. Li, C. H. Lee, L. M. Lix, and T. Sajobi: A Comparison of Multivariate Mixed Models and Generalized Estimation Equations Models for Discrimination in Multivariate Longitudinal Data
  • C. Adela Anton and I. Smith: A Multivariate Functional Data Clustering Method Using Parsimonious Cluster Weighted Models
  • J. P. Arroyo-Castro and S. W. Chou-Chen: Unsupervised Detection of Anomaly in Public Procurement Processes
  • Z. Aouabed, M. Achraf Bouaoune, V. Therrien, M. Bakhtyari, M. Hijri, and V. Makarenkov: Predicting Soil Bacterial and Fungal Communities at Different Taxonomic Levels Using Machine Learning
  • V. Bouranta, G. Panagiotidou and T. Chadjipadelis: Candidates, Parties, Issues and the Political Marketing Strategies: A Comparative Analysis on Political Competition in Greece
  • J. Cervantes, M. Monge, and D. Sabater: Predicting Air Pollution in Beijing, China Using Chemical, and Climate Variables
  • J. Champagne Gareau, É. Beaudry, and V. Makarenkov: Towards Topologically Diverse Probabilistic Planning Benchmarks: Synthetic Domain Generation for Markov Decision Processes
  • P. Chaparala and P. Nagabhushan: Symbolic Data Analysis Framework for Recommendation Systems: SDA-RecSys
  • E. Costa, I. Papatsouma, and A. Markos: A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data
  • M. Farnia and N. Tahiri: A New Metric to Classify B Cell Lineage Tree
  • T. Górecki, M.Krzyśko, and W. Wolyński: Applying Classification Methods for Multivariate Functional Data
  • K. Moussa Sow and N. Ghazzali: Machine Learning-Based Classification and Prediction to Assess Corrosion Degradation in Mining Pipelines
  • G. Nason, D. Salnikov, and M. Cortina-Borja: Modelling Clusters in Network Time Series with an Application to Presidential Elections in the USA
  • M. A. Nunez and M. A. Schneider: On the Vapnik-Chervonenkis Dimension and Learnability of the Hurwicz Decision Criterion
  • W. Pan and L. Billard: Distributional-based Partitioning with Copulas
  • G. Panagiotidou and T. Chadjipadelis: Mapping Electoral Behavior and Political Competition: A Comparative Analytical Framework for Voter Typologies and Political Discourses
  • O. Rodríguez Rojas: Riemannian Statistics for Any Type of Data
  • A. Roy and F. Montes: Hypothesis Testing of Mean Interval for p-dimensional Interval-valued Data
  • M. Solís and A. Hernández: UMAP Projections and the Survival of Empty Space: A Geometric Approach to High-Dimensional Data
  • Q. Stier and M. C. Thrun: An Efficient Multicore CPU Implementation of the DatabionicSwarm.

Ítems similars