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: Data Analytics; Models and Algorithm Thomas A. Runkler Textbook 20203rd edition Springer Fachmedien Wiesbaden GmbH, part of Springer Nature

[复制链接]
查看: 43814|回复: 43
发表于 2025-3-21 19:55:05 | 显示全部楼层 |阅读模式
书目名称Data Analytics
副标题Models and Algorithm
编辑Thomas A. Runkler
视频video
概述A comprehensive introduction.Enabling the reader to design and implement data analytics solutions for real-world applications.Written by a researcher from industry with substantial experience with rea
图书封面Titlebook: Data Analytics; Models and Algorithm Thomas A. Runkler Textbook 20203rd edition Springer Fachmedien Wiesbaden GmbH, part of Springer Nature
描述This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens.
出版日期Textbook 20203rd edition
关键词data mining; knowledge discovery; algorithms; forecasting; classification; clustering; business intelligen
版次3
doihttps://doi.org/10.1007/978-3-658-29779-4
isbn_softcover978-3-658-29778-7
isbn_ebook978-3-658-29779-4
copyrightSpringer Fachmedien Wiesbaden GmbH, part of Springer Nature 2020
The information of publication is updating

书目名称Data Analytics影响因子(影响力)




书目名称Data Analytics影响因子(影响力)学科排名




书目名称Data Analytics网络公开度




书目名称Data Analytics网络公开度学科排名




书目名称Data Analytics被引频次




书目名称Data Analytics被引频次学科排名




书目名称Data Analytics年度引用




书目名称Data Analytics年度引用学科排名




书目名称Data Analytics读者反馈




书目名称Data Analytics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 2025-3-21 23:50:52 | 显示全部楼层
发表于 2025-3-22 01:56:44 | 显示全部楼层
Data Preprocessing,bly heterogeneous information sources. We distinguish deterministic and stochastic errors. Deterministic errors can sometimes be easily corrected. Inliers and outliers may be identified and removed or corrected. Inliers, outliers, or noise can be reduced by filtering. We distinguish many different f
发表于 2025-3-22 05:24:11 | 显示全部楼层
发表于 2025-3-22 09:06:44 | 显示全部楼层
Correlation,ependencies. Nonlinear correlation methods are able to detect nonlinear dependencies but need to be carefully parametrized. As a popular example for nonlinear correlation we present the chi-square test for independence that can be applied to continuous features using histogram counts. Nonlinear corr
发表于 2025-3-22 13:47:22 | 显示全部楼层
Regression,d to linear dependencies. Substitution allows to identify specific types of nonlinear dependencies by linear regression. Robust regression finds models that are robust against inliers or outliers. A popular class of nonlinear regression methods are universal approximators. We present two well-known
发表于 2025-3-22 20:23:41 | 显示全部楼层
发表于 2025-3-22 23:39:07 | 显示全部楼层
发表于 2025-3-23 02:41:46 | 显示全部楼层
发表于 2025-3-23 07:07:33 | 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, 2025-5-19 09:26
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