This book contains a selection of the improved contributions submitted by participants at the conference of the Italian Statistical Society - SIS 2022 held in Caserta 22-24 June 2022. The scientific community of Italian statistics, which gathers around the SIS, is paying particular attention to the development of statistical techniques increasingly oriented toward the processing of large data, mainly, of complex data. The main goal is to provide the analysis of the data and the interpretability of the obtained results, with a view to decision support and the reliability of the data outcomes. The aim of this volume is to show some of the most relevant contributions of statistical and data analysis methods in preserving the quality of the information to be processed, especially when it comes from different, often non-official sources; as well as in the extraction of knowledge from complex data (textual, network, unstructured and multivalue) and in the explicability of results. Data Science today represents a broad domain of knowledge development from data, where statistical and data analysis methods can make an important contribution in the different domains where data management and processing are required. This volume is addressed to researchers but also to Ph.D. and MSc students in the field of Statistics and Data Science to acquaint them with some of the most recent developments towards which statistical research is orienting, in prevalence in Italy.
| ISBN: | 9783031656989 |
| Publication date: | 17th October 2024 |
| Author: | Società italiana di statistica |
| Publisher: | Springer an imprint of Springer Nature Switzerland |
| Format: | Hardback |
| Pagination: | 328 pages |
| Series: | Springer Proceedings in Mathematics & Statistics |
| Genres: |
Databases Machine learning |
This book contains a selection of the improved contributions submitted by participants at the conference of the Italian Statistical Society - SIS 2022 held in Caserta 22-24 June 2022. The scientific community of Italian statistics, which gathers around the SIS, is paying particular attention to the development of statistical techniques increasingly oriented toward the processing of large data, mainly, of complex data. The main goal is to provide the analysis of the data and the interpretability of the obtained results, with a view to decision support and the reliability of the data outcomes.
Advanced Methods in Statistics, Data Science and Related Applications features in the following genres: Databases, Machine learning
Hardback. £134.99, down from the £149.99 cover price. Not Available.
Advanced Methods in Statistics, Data Science and Related Applications was written by Società italiana di statistica and published by Springer an imprint of Springer Nature Switzerland
Advanced Methods in Statistics, Data Science and Related Applications has 328 pages
Yes it is part of Springer Proceedings in Mathematics & Statistics series
£134.99, reduced from £149.99. Not Available.