用户名  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 Mining; Concepts, Models and Florin Gorunescu Book 2011 Springer-Verlag Berlin Heidelberg 2011 Computational Intelligence.Data Mining.

[复制链接]
查看: 35456|回复: 36
发表于 2025-3-21 18:38:42 | 显示全部楼层 |阅读模式
书目名称Data Mining
副标题Concepts, Models and
编辑Florin Gorunescu
视频video
概述A self-contained introduction to Data Mining.Present the concepts, models and techniques for date mining in a well organized style.Written by an expert in this field.Includes supplementary material:
丛书名称Intelligent Systems Reference Library
图书封面Titlebook: Data Mining; Concepts, Models and Florin Gorunescu Book 2011 Springer-Verlag Berlin Heidelberg 2011 Computational Intelligence.Data Mining.
描述.The knowledge discovery process is as old as Homo sapiens. Until some time ago this process was solely based on the ‘natural personal‘ computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the ‘artificial‘ computers. Digging intelligently in different large databases, data mining aims to extract implicit, previously unknown and potentially useful information from data, since “knowledge is power”. The goal of this book is to provide, in a friendly way, both theoretical concepts and, especially, practical techniques of this exciting field, ready to be applied in real-world situations. Accordingly, it is meant for all those who wish to learn how to explore and analysis of large quantities of data in order to discover the hidden nugget of information..
出版日期Book 2011
关键词Computational Intelligence; Data Mining; Intelligent System
版次1
doihttps://doi.org/10.1007/978-3-642-19721-5
isbn_softcover978-3-642-26773-4
isbn_ebook978-3-642-19721-5Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightSpringer-Verlag Berlin Heidelberg 2011
The information of publication is updating

书目名称Data Mining影响因子(影响力)




书目名称Data Mining影响因子(影响力)学科排名




书目名称Data Mining网络公开度




书目名称Data Mining网络公开度学科排名




书目名称Data Mining被引频次




书目名称Data Mining被引频次学科排名




书目名称Data Mining年度引用




书目名称Data Mining年度引用学科排名




书目名称Data Mining读者反馈




书目名称Data Mining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 20:32:50 | 显示全部楼层
https://doi.org/10.1007/978-3-642-19721-5Computational Intelligence; Data Mining; Intelligent System
发表于 2025-3-22 02:32:45 | 显示全部楼层
发表于 2025-3-22 07:20:55 | 显示全部楼层
Viermal um die ganze Welt zur Einführungo: what is data mining, why to use data mining, how to mine data? There are also discussed: data mining solvable problems, issues concerning the modeling process and models, main data mining applications, methodology and terminology used in data mining.
发表于 2025-3-22 12:06:17 | 显示全部楼层
发表于 2025-3-22 14:30:53 | 显示全部楼层
发表于 2025-3-22 18:39:46 | 显示全部楼层
Afrika und der Wettlauf zum Mondn process, a decision is naturally made, both labels are correctly inserted in its name, though they are usually used separately (i.e., classification trees or decision trees). From now on, we will call them just decision trees, since it represents the final goal of this model. The greatest benefit
发表于 2025-3-22 23:19:34 | 显示全部楼层
发表于 2025-3-23 02:08:41 | 显示全部楼层
发表于 2025-3-23 06:19:18 | 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, 2025-5-24 04:59
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