找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
查看: 39444|回復(fù): 63
樓主
發(fā)表于 2025-3-21 18:01:22 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Classification and Data Science in the Digital Age
編輯Paula Brito,José G. Dias,Rebecca Nugent
視頻videohttp://file.papertrans.cn/228/227198/227198.mp4
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
叢書名稱Studies in Classification, Data Analysis, and Knowledge Organization
圖書封面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
關(guān)鍵詞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

書目名稱Classification and Data Science in the Digital Age影響因子(影響力)




書目名稱Classification and Data Science in the Digital Age影響因子(影響力)學(xué)科排名




書目名稱Classification and Data Science in the Digital Age網(wǎng)絡(luò)公開度




書目名稱Classification and Data Science in the Digital Age網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Classification and Data Science in the Digital Age被引頻次




書目名稱Classification and Data Science in the Digital Age被引頻次學(xué)科排名




書目名稱Classification and Data Science in the Digital Age年度引用




書目名稱Classification and Data Science in the Digital Age年度引用學(xué)科排名




書目名稱Classification and Data Science in the Digital Age讀者反饋




書目名稱Classification and Data Science in the Digital Age讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

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

您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-22 00:01:53 | 只看該作者
板凳
發(fā)表于 2025-3-22 02:56:25 | 只看該作者
地板
發(fā)表于 2025-3-22 07:56:10 | 只看該作者
5#
發(fā)表于 2025-3-22 08:58:04 | 只看該作者
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
6#
發(fā)表于 2025-3-22 16:32:20 | 只看該作者
7#
發(fā)表于 2025-3-22 19:04:30 | 只看該作者
8#
發(fā)表于 2025-3-23 00:22:39 | 只看該作者
9#
發(fā)表于 2025-3-23 03:17:38 | 只看該作者
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
10#
發(fā)表于 2025-3-23 08:44:42 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-19 22:59
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
确山县| 迁安市| 昭平县| 东丽区| 宁蒗| 高邑县| 嘉义市| 镇安县| 彰化市| 洞口县| 容城县| 隆安县| 鹤岗市| 安泽县| 沾益县| 凤城市| 綦江县| 页游| 蓝山县| 洛隆县| 淳安县| 万荣县| 竹山县| 西吉县| 宝山区| 简阳市| 玛多县| 东辽县| 洱源县| 手游| 泽库县| 阿拉善左旗| 张家港市| 荃湾区| 临汾市| 白城市| 库尔勒市| 绥滨县| 突泉县| 湖州市| 西峡县|