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: Developing Multi-Database Mining Applications; Animesh Adhikari,Pralhad Ramachandrarao,Witold Ped Book 2010 Springer-Verlag London 2010 Cl

[复制链接]
查看: 30825|回复: 41
发表于 2025-3-21 19:32:12 | 显示全部楼层 |阅读模式
书目名称Developing Multi-Database Mining Applications
编辑Animesh Adhikari,Pralhad Ramachandrarao,Witold Ped
视频video
概述One of the first books on multi-database data mining..Discusses the various issues regarding the systematic and efficient development of multi-database mining applications.
丛书名称Advanced Information and Knowledge Processing
图书封面Titlebook: Developing Multi-Database Mining Applications;  Animesh Adhikari,Pralhad Ramachandrarao,Witold Ped Book 2010 Springer-Verlag London 2010 Cl
描述Multi-database mining has been recognized recently as an important and strategically essential area of research in data mining. In this book, we discuss various issues regarding the systematic and efficient development of multi-database mining applications. It explains how systematically one could prepare data warehouses at different branches. As appropriate multi-database mining technique is essential to develop better applications. Also, the efficiency of a multi-database mining application could be improved by processing more patterns in the application. A faster algorithm could also play an important role in developing a better application. Thus the efficiency of a multi-database mining application could be enhanced by choosing an appropriate multi-database mining model, an appropriate pattern synthesizing technique, a better pattern representation technique, and an efficient algorithm for solving the problem. This book illustrates each of these issues either in the context of a specific problem, or in general.
出版日期Book 2010
关键词Clustering; Coding patterns; Exception association rule; Grouping; Heavy association rule; High-frequent
版次1
doihttps://doi.org/10.1007/978-1-84996-044-1
isbn_softcover978-1-4471-2563-1
isbn_ebook978-1-84996-044-1Series ISSN 1610-3947 Series E-ISSN 2197-8441
issn_series 1610-3947
copyrightSpringer-Verlag London 2010
The information of publication is updating

书目名称Developing Multi-Database Mining Applications影响因子(影响力)




书目名称Developing Multi-Database Mining Applications影响因子(影响力)学科排名




书目名称Developing Multi-Database Mining Applications网络公开度




书目名称Developing Multi-Database Mining Applications网络公开度学科排名




书目名称Developing Multi-Database Mining Applications被引频次




书目名称Developing Multi-Database Mining Applications被引频次学科排名




书目名称Developing Multi-Database Mining Applications年度引用




书目名称Developing Multi-Database Mining Applications年度引用学科排名




书目名称Developing Multi-Database Mining Applications读者反馈




书目名称Developing Multi-Database Mining Applications读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

1票 100.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 21:22:24 | 显示全部楼层
https://doi.org/10.1007/978-3-658-22761-6l results obtained for both synthetic and real-world datasets and carried out detailed error analysis. Furthermore, we bring a detailed comparative analysis by contrasting the proposed algorithm with some of those reported in the literature. This analysis is completed by taking into consideration th
发表于 2025-3-22 03:20:36 | 显示全部楼层
发表于 2025-3-22 06:41:02 | 显示全部楼层
发表于 2025-3-22 10:26:52 | 显示全部楼层
1610-3947 hnique, and an efficient algorithm for solving the problem. This book illustrates each of these issues either in the context of a specific problem, or in general.978-1-4471-2563-1978-1-84996-044-1Series ISSN 1610-3947 Series E-ISSN 2197-8441
发表于 2025-3-22 15:25:24 | 显示全部楼层
An Extended Model of Local Pattern Analysis,l results obtained for both synthetic and real-world datasets and carried out detailed error analysis. Furthermore, we bring a detailed comparative analysis by contrasting the proposed algorithm with some of those reported in the literature. This analysis is completed by taking into consideration th
发表于 2025-3-22 19:59:52 | 显示全部楼层
Enhancing Quality of Knowledge Synthesized from Multi-database Mining,istics of discovered patterns, like minimum support and minimum confidence. The ACP coding enables more local patterns participate in the knowledge synthesizing/processing activities and thus the quality of synthesized knowledge based on local patterns becomes enhanced significantly with regard to t
发表于 2025-3-23 00:44:09 | 显示全部楼层
Efficient Clustering of Databases Induced by Local Patterns,asted with the existing clustering algorithms. The efficiency of the clustering process has been improved using several strategies that is by reducing execution time of the clustering algorithm, using more suitable similarity measure, and storing frequent itemsets space efficiently.
发表于 2025-3-23 03:20:15 | 显示全部楼层
https://doi.org/10.1007/978-1-84996-044-1Clustering; Coding patterns; Exception association rule; Grouping; Heavy association rule; High-frequent
发表于 2025-3-23 09:25:47 | 显示全部楼层
978-1-4471-2563-1Springer-Verlag London 2010
 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, 2025-5-16 06:20
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