Advanced Methods in Statistics, Data Science and Related Applications: Sis 2022, Caserta, Italy, June 22-24
暫譯: 統計學、數據科學及相關應用的進階方法:2022年意大利卡塞塔國際研討會,6月22-24日
Bini, Matilde, Balzanella, Antonio, Masserini, Lucio
- 出版商: Springer
- 出版日期: 2025-10-17
- 售價: $8,120
- 貴賓價: 9.5 折 $7,714
- 語言: 英文
- 頁數: 328
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031657012
- ISBN-13: 9783031657016
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相關分類:
機率統計學 Probability-and-statistics
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商品描述
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.
商品描述(中文翻譯)
本書包含了在2022年6月22日至24日於卡塞塔舉行的意大利統計學會(SIS 2022)會議中,參與者提交的改進貢獻的選集。圍繞SIS聚集的意大利統計學科學社群,特別關注於統計技術的發展,這些技術越來越多地面向於處理大型數據,主要是複雜數據。主要目標是提供數據分析及所獲結果的可解釋性,以支持決策並提高數據結果的可靠性。本卷的目的是展示一些在保護待處理信息質量方面最相關的統計和數據分析方法的貢獻,特別是當這些信息來自不同且通常是非官方來源時;以及在從複雜數據(文本、網絡、非結構化和多值數據)中提取知識和結果的可解釋性方面。當今的數據科學代表了一個從數據中發展知識的廣泛領域,其中統計和數據分析方法可以在需要數據管理和處理的不同領域中做出重要貢獻。本卷針對研究人員,也適合統計學和數據科學領域的博士及碩士學生,讓他們了解統計研究目前的最新發展,尤其是在意大利的趨勢。