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Classification and Data Science in the Digital Age
- Publication Year :
- 2023
- Publisher :
- Cham: Springer Nature; Springer International Publishing, 2023.
-
Abstract
- 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.
- Subjects :
- Classification
Data Science
Clustering
Statistical Learning
Machine Learning
Data Analysis
Mutlivariate Analysis
Statistical Inference
Dimension Reduction
Functional Data Analysis
Time Series Analysis
Network Analysis
bic Book Industry Communication::U Computing & information technology::UM Computer programming / software development::UMB Algorithms & data structures
bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence
bic Book Industry Communication::U Computing & information technology::UF Business applications::UFM Mathematical & statistical software
bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
bic Book Industry Communication::U Computing & information technology::UN Databases::UNF Data mining
bic Book Industry Communication::P Mathematics & science::PB Mathematics::PBT Probability & statistics
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-031-09034-9
978-3-031-09033-2
3-031-09034-9
3-031-09033-0 - ISBNs :
- 9783031090349, 9783031090332, 3031090349, and 3031090330
- Database :
- OAPEN Library
- Notes :
- ONIX_20231213_9783031090349_4, , https://link.springer.com/978-3-031-09034-9
- Publication Type :
- eBook
- Accession number :
- edsoap.20.500.12657.86098
- Document Type :
- book
- Full Text :
- https://doi.org/10.1007/978-3-031-09034-9