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: Web and Big Data; APWeb-WAIM 2019 Inte Jingkuan Song,Xiaofeng Zhu Conference proceedings 2019 Springer Nature Switzerland AG 2019 artificia

[复制链接]
查看: 17371|回复: 61
发表于 2025-3-21 17:14:50 | 显示全部楼层 |阅读模式
书目名称Web and Big Data
副标题APWeb-WAIM 2019 Inte
编辑Jingkuan Song,Xiaofeng Zhu
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Web and Big Data; APWeb-WAIM 2019 Inte Jingkuan Song,Xiaofeng Zhu Conference proceedings 2019 Springer Nature Switzerland AG 2019 artificia
描述.This book constitutes the thoroughly refereed post-conference proceedings of the Third APWeb-WAIM 2019 Workshops, held jointly with the Third International Joint Conference APWeb-WAIM 2019 in Macau, China, in August 2019...The 8 full papers presented together with 1 invited talk were carefully reviewed and selected from 18 submissions. The papers originating from two workshops, KGMA and DSEA, present cutting-edge ideas, results, experiences, techniques, and tools from all aspects of the management, analysis, and application of knowledge graphs in different domains, as well as theoretical foundations, algorithms, systems, models and applications for big data management and mining..
出版日期Conference proceedings 2019
关键词artificial intelligence; computer network; computer systems; databases; education; image processing; infor
版次1
doihttps://doi.org/10.1007/978-3-030-33982-1
isbn_softcover978-3-030-33981-4
isbn_ebook978-3-030-33982-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

书目名称Web and Big Data影响因子(影响力)




书目名称Web and Big Data影响因子(影响力)学科排名




书目名称Web and Big Data网络公开度




书目名称Web and Big Data网络公开度学科排名




书目名称Web and Big Data被引频次




书目名称Web and Big Data被引频次学科排名




书目名称Web and Big Data年度引用




书目名称Web and Big Data年度引用学科排名




书目名称Web and Big Data读者反馈




书目名称Web and Big Data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 23:17:46 | 显示全部楼层
发表于 2025-3-22 01:21:52 | 显示全部楼层
发表于 2025-3-22 04:38:18 | 显示全部楼层
0302-9743 ences, techniques, and tools from all aspects of the management, analysis, and application of knowledge graphs in different domains, as well as theoretical foundations, algorithms, systems, models and applications for big data management and mining..978-3-030-33981-4978-3-030-33982-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
发表于 2025-3-22 10:11:20 | 显示全部楼层
发表于 2025-3-22 15:20:33 | 显示全部楼层
Community Detection in Knowledge Graph Network with Matrix Factorization Learningh knowledge graph and semantic network. Comparing with relevant network community detection methods in various semantic network data, our matrix factorization learning method achieves good performance for community detection.
发表于 2025-3-22 19:47:24 | 显示全部楼层
发表于 2025-3-22 23:55:22 | 显示全部楼层
Classification-Based Emoji Recommendation for User Social Networksfferent context sets according to emojis, then propose a method to generate emoji-related features by analysis, finally a classification-based recommendation method is proposed by integrating these features. The experimental results show that the proposed method significantly improves the accuracy of emoji recommendation in social media platforms.
发表于 2025-3-23 03:09:12 | 显示全部楼层
Boundary Detector Encoder and Decoder with Soft Attention for Video Captioning input video. Extensive experiments are conducted on two datasets: the Microsoft Video Description Corpus and the MSR-Video To Text. Three metrics, BLEU@4, METEOR and CIDEr are used to evaluate our approach. Experimental results demonstrate the effectiveness of our approach.
发表于 2025-3-23 07:18:30 | 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, 2025-5-7 10:17
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