Classification and Data Science in the Digital Age (Paperback, 1st ed. 2023)

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. The IFCS federates the classification societies and the IFCS biennial conference brings together researchers and stakeholders in the areas of Data Science, Classification, and Machine Learning. It provides a forum for presenting high-quality theoretical and applied works, and promoting and fostering interdisciplinary research and international cooperation. The intended audience is researchers and practitioners who seek the latest developments and applications in the field of data science and classification.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Classification, Data Analysis, and Knowledge Organization
Release date:	September 2023
First published:	2023
Editors:	Paula Brito • José G. Dias • Berthold Lausen • Angela Montanari • Rebecca Nugent
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	416
Edition:	1st ed. 2023
ISBN-13:	978-3-03-109033-2
Categories:	Books Promotions
LSN:	3-03-109033-0
Barcode:	9783031090332

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!