Classification and Data Science in the Digital Age

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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Hlavní autori: Brito, Paula, Dias, José G, Lausen, Berthold, Montanari, Angela, Nugent, Rebecca
Médium: E-kniha
Jazyk:English
Vydavateľské údaje: Cham Springer Nature 2023
Springer International Publishing AG
Vydanie:1
Edícia:Studies in Classification, Data Analysis, and Knowledge Organization
Predmet:
Algorithms & data structures
Algorithms and data structures
Artificial intelligence
Book Industry Communication
Business applications
Classification
Clustering
Computer programming / software development
Computer programming / software engineering
Computer science
Computing & information technology
Computing and Information Technology
Data Analysis
Data mining
Data Science
Dimension Reduction
Functional Data Analysis
Machine learning
Mathematical & statistical software
Mathematical and statistical software
Mathematics
Mathematics & science
Mathematics and Science
Mutlivariate Analysis
Network Analysis
Probability & statistics
Probability and statistics
Statistical Inference
Statistical Learning
Time Series Analysis
ISBN:9783031090349, 3031090330, 3031090349, 9783031090332
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Popis
Shrnutí: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.
ISBN:9783031090349
3031090330
3031090349
9783031090332
DOI:10.1007/978-3-031-09034-9