Building Bridges between Soft and Statistical Methodologies for Data Science: Advances in Intelligent Systems and Computing, cartea 1433
Editat de Luis A. García-Escudero, Alfonso Gordaliza, Agustín Mayo, María Asunción Lubiano Gomez, Maria Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewiczen Limba Engleză Paperback – 26 aug 2022
This book contains more than fifty selected recent contributions aiming to establish the above referred bridges. These contributions address very different and relevant aspects such as imprecise probabilities, information theory, random sets and random fuzzy sets, belief functions, possibility theory, dependence modelling and copulas, clustering, depth concepts, dimensionality reduction of complex data and robustness.
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Specificații
ISBN-13: 9783031155086
ISBN-10: 3031155084
Pagini: 408
Ilustrații: XIII, 408 p. 83 illus., 55 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.59 kg
Ediția:1st ed. 2023
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Intelligent Systems and Computing
Locul publicării:Cham, Switzerland
ISBN-10: 3031155084
Pagini: 408
Ilustrații: XIII, 408 p. 83 illus., 55 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.59 kg
Ediția:1st ed. 2023
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Intelligent Systems and Computing
Locul publicării:Cham, Switzerland
Textul de pe ultima copertă
Nowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probabilistic/statistical approaches and tools to cope with these data. Different communities of experts, namely statisticians, mathematicians, computer scientists, engineers, econometricians, and psychologists are more and more interested in facing this challenge. As a consequence, there is a clear need to build bridges between all these communities for Data Science.
This book contains more than fifty selected recent contributions aiming to establish the above referred bridges. These contributions address very different and relevant aspects such as imprecise probabilities, information theory, random sets and random fuzzy sets, belief functions, possibility theory, dependence modelling and copulas, clustering, depth concepts, dimensionality reduction of complex data and robustness.
This book contains more than fifty selected recent contributions aiming to establish the above referred bridges. These contributions address very different and relevant aspects such as imprecise probabilities, information theory, random sets and random fuzzy sets, belief functions, possibility theory, dependence modelling and copulas, clustering, depth concepts, dimensionality reduction of complex data and robustness.
Caracteristici
Latest research on Data Analysis and Soft Computing Covers results of the 10th International Conference on Soft Methods in Probability and Statistics (SMPS 2022) Presents current research on the fusion of soft computing methods with probability and statistics