找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Classification and Data Science in the Digital Age; Paula Brito,José G. Dias,Rebecca Nugent Conference proceedings‘‘‘‘‘‘‘‘ 2023 The Editor

[复制链接]
查看: 39374|回复: 63
发表于 2025-3-21 18:01:22 | 显示全部楼层 |阅读模式
书目名称Classification and Data Science in the Digital Age
编辑Paula Brito,José G. Dias,Rebecca Nugent
视频video
概述Presents the latest advances in data science, classification, and machine learning.Covers methodological approaches to data science problems and real-world applications in different areas.Benefits res
丛书名称Studies in Classification, Data Analysis, and Knowledge Organization
图书封面Titlebook: Classification and Data Science in the Digital Age;  Paula Brito,José G. Dias,Rebecca Nugent Conference proceedings‘‘‘‘‘‘‘‘ 2023 The Editor
描述.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 classi
出版日期Conference proceedings‘‘‘‘‘‘‘‘ 2023
关键词Classification; Data Science; Clustering; Statistical Learning; Machine Learning; Data Analysis; Mutlivari
版次1
doihttps://doi.org/10.1007/978-3-031-09034-9
isbn_softcover978-3-031-09033-2
isbn_ebook978-3-031-09034-9Series ISSN 1431-8814 Series E-ISSN 2198-3321
issn_series 1431-8814
copyrightThe Editor(s) (if applicable) and The Author(s). 2023
The information of publication is updating

书目名称Classification and Data Science in the Digital Age影响因子(影响力)




书目名称Classification and Data Science in the Digital Age影响因子(影响力)学科排名




书目名称Classification and Data Science in the Digital Age网络公开度




书目名称Classification and Data Science in the Digital Age网络公开度学科排名




书目名称Classification and Data Science in the Digital Age被引频次




书目名称Classification and Data Science in the Digital Age被引频次学科排名




书目名称Classification and Data Science in the Digital Age年度引用




书目名称Classification and Data Science in the Digital Age年度引用学科排名




书目名称Classification and Data Science in the Digital Age读者反馈




书目名称Classification and Data Science in the Digital Age读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-22 00:01:53 | 显示全部楼层
发表于 2025-3-22 02:56:25 | 显示全部楼层
发表于 2025-3-22 07:56:10 | 显示全部楼层
发表于 2025-3-22 08:58:04 | 显示全部楼层
A New Regression Model for the Analysis of Microbiome Data,ead discrete distribution to analyze this kind of data is the Dirichletmultinomial. Despite its popularity, this distribution often fails in modeling microbiome data due to the strict parameterization imposed on its covariance matrix. The aim of this work is to propose a new distribution for analyzi
发表于 2025-3-22 16:32:20 | 显示全部楼层
发表于 2025-3-22 19:04:30 | 显示全部楼层
发表于 2025-3-23 00:22:39 | 显示全部楼层
发表于 2025-3-23 03:17:38 | 显示全部楼层
Using Clustering and Machine Learning Methods to Provide Intelligent Grocery Shopping Recommendatiolable on online stores, it can become increasingly difficult for customers to identify. products that both satisfy their needs and represent the best deals overall. In this paper, we present a grocery recommender system based on the use of traditional machine learning methods aiming at assisting cus
发表于 2025-3-23 08:44:42 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-28 07:33
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表