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: Intelligent Data Engineering and Automated Learning -- IDEAL 2014; 15th International C Emilio Corchado,José A. Lozano,Hujun Yin Conference

[复制链接]
查看: 20494|回复: 61
发表于 2025-3-21 18:26:11 | 显示全部楼层 |阅读模式
书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2014
副标题15th International C
编辑Emilio Corchado,José A. Lozano,Hujun Yin
视频videohttp://file.papertrans.cn/470/469584/469584.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Intelligent Data Engineering and Automated Learning -- IDEAL 2014; 15th International C Emilio Corchado,José A. Lozano,Hujun Yin Conference
描述This book constitutes the refereed proceedings of the 15th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2014, held in Salamanca, Spain, in September 2014..The 60 revised full papers presented were carefully reviewed and selected from about 120 submissions. These papers provided a valuable collection of recent research outcomes in data engineering and automated learning, from methodologies, frameworks, and techniques to applications. In addition the conference provided a good sample of current topics from methodologies, frameworks, and techniques to applications and case studies. The techniques include computational intelligence, big data analytics, social media techniques, multi-objective optimization, regression, classification, clustering, biological data processing, text processing, and image/video analysis.
出版日期Conference proceedings 2014
关键词Web application; agent-based simulation; ant colony optimization; cloud computing; combinatorial optimiz
版次1
doihttps://doi.org/10.1007/978-3-319-10840-7
isbn_softcover978-3-319-10839-1
isbn_ebook978-3-319-10840-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2014影响因子(影响力)




书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2014影响因子(影响力)学科排名




书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2014网络公开度




书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2014网络公开度学科排名




书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2014被引频次




书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2014被引频次学科排名




书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2014年度引用




书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2014年度引用学科排名




书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2014读者反馈




书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2014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 23:54:26 | 显示全部楼层
Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology,matic feedback. Moreover, we provide facilitators with feedback of students posts, such as frequent topics students ask about. Experimental results from one of the courses offered by . show the potential of our approach in creating a responsive learning environment.
发表于 2025-3-22 01:36:10 | 显示全部楼层
发表于 2025-3-22 05:35:29 | 显示全部楼层
Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensembling Filter (IPF), which can overcome these problems. The properties of this proposal are discussed in a controlled experimental study against SMOTE and its most well-known generalizations. The results show that the new proposal performs better than exiting SMOTE generalizations for all these different scenarios.
发表于 2025-3-22 09:40:39 | 显示全部楼层
Automatic Validation of Flowmeter Data in Transport Water Networks: Application to the ATLLc Water ng the different sensors. The methodology is applied to real-data acquired from the ATLLc Water Network. The results demonstrate the performance of the proposed methodology in detecting errors in measurements and in reconstructing them.
发表于 2025-3-22 15:59:00 | 显示全部楼层
发表于 2025-3-22 18:02:37 | 显示全部楼层
发表于 2025-3-22 21:30:00 | 显示全部楼层
发表于 2025-3-23 01:44:32 | 显示全部楼层
On Interlinking Linked Data Sources by Using Ontology Matching Techniques and the Map-Reduce Framewtation. In order to assess the performance of the proposed scheme an exemplifying prototype is implemented between DBpedia and LinkedMDB datasets. The obtained results are promising and pave the way towards benchmarking the proposed interlinking procedure with other ontology matching systems.
发表于 2025-3-23 07:19:39 | 显示全部楼层
Use of Empirical Mode Decomposition for Classification of MRCP Based Task Parameters,ality reduction using Principal Component Analysis (PCA). Classification was performed using simple logistic regression. A best overall classification accuracy of 77.2% was achieved using this approach. Results provide evidence that BCI can be potentially used in tandem with bionics for neuro-rehabilitation.
 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 吾爱论文网 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.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-15 05:21
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