Classification and Data Science in the Digital Age

Classification and Data Science in the Digital Age

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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 functiona...

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Bibliographic Details
Other Authors: Brito, Paula (Editor), Dias, José G. (Editor), Lausen, Berthold (Editor), Montanari, Angela (Editor), Nugent, Rebecca (Editor)
Format: Electronic Book Chapter
Language:English
Published: Cham Springer Nature 2023
Series:Studies in Classification, Data Analysis, and Knowledge Organization
Subjects:
Algorithms & data structures
Artificial intelligence
Mathematical & statistical software
Machine learning
Data mining
Probability & statistics
Classification
Data Science
Clustering
Statistical Learning
Machine Learning
Data Analysis
Mutlivariate Analysis
Statistical Inference
Dimension Reduction
Functional Data Analysis
Time Series Analysis
Network Analysis
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Summary: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.
Physical Description:1 electronic resource (416 p.)
ISBN:978-3-031-09034-9
9783031090349
9783031090332
Access:Open Access

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