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: Big Data – BigData 2022; 11th International C Bo Hu,Yunni Xia,Liang-Jie Zhang Conference proceedings 2022 The Editor(s) (if applicable) and

[复制链接]
查看: 51427|回复: 39
发表于 2025-3-21 17:44:47 | 显示全部楼层 |阅读模式
期刊全称Big Data – BigData 2022
期刊简称11th International C
影响因子2023Bo Hu,Yunni Xia,Liang-Jie Zhang
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Big Data – BigData 2022; 11th International C Bo Hu,Yunni Xia,Liang-Jie Zhang Conference proceedings 2022 The Editor(s) (if applicable) and
影响因子This book constitutes the proceedings of the 11th International Conference on Big Data, BigData 2022, held as part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022. .The 4 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 16 submissions..The 2022 International Congress on Big Data (BigData 2022) aims to provide an international forum that formally explores various business insights of all kinds of value-added "services". Big Data is a key enabler of exploring business insights and economics of services..
Pindex Conference proceedings 2022
The information of publication is updating

书目名称Big Data – BigData 2022影响因子(影响力)




书目名称Big Data – BigData 2022影响因子(影响力)学科排名




书目名称Big Data – BigData 2022网络公开度




书目名称Big Data – BigData 2022网络公开度学科排名




书目名称Big Data – BigData 2022被引频次




书目名称Big Data – BigData 2022被引频次学科排名




书目名称Big Data – BigData 2022年度引用




书目名称Big Data – BigData 2022年度引用学科排名




书目名称Big Data – BigData 2022读者反馈




书目名称Big Data – BigData 2022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 21:30:37 | 显示全部楼层
发表于 2025-3-22 02:42:11 | 显示全部楼层
Performance Analysis of Cross-Border Mergers and Acquisitions of Baiyuan Pants Industry in the Inteing business through resource allocation, and realized the improvement of financial performance. The research in this paper can provide guidance for enterprises to achieve performance improvement through cross-border M&A, and can also provide a reference for the government to formulate industrial sp
发表于 2025-3-22 07:02:27 | 显示全部楼层
Design of Multi-data Sources Based Forest Fire Monitoring and Early Warning System,ti-channel radiation fusion, yolov4 algorithm is used for training, combined with the IoT data, the accuracy of early warning and pre-assessment improved, provides scientific decision-making basis for forest fire prevention and rescue work.
发表于 2025-3-22 12:26:30 | 显示全部楼层
https://doi.org/10.1007/978-3-319-06910-4for its using in power information collection applications. It is a tricky task for improving the retrieval efficiency of massive data. The main big data solutions are likely to store the data in Hbase, which is difficult to improve the performance when querying small data from a large volume of dat
发表于 2025-3-22 16:21:07 | 显示全部楼层
发表于 2025-3-22 17:35:59 | 显示全部楼层
Chris Backes,Mariolina Eliantonioterprises has gradually become an upsurge. This paper uses the financial index method to analyze the performance of Baiyuan Pants Industry’s cross-border merger and acquisition of Global Tesco, and finds that it improves the performance as a whole after the merger. Then this paper analyzes the facto
发表于 2025-3-22 21:32:03 | 显示全部楼层
发表于 2025-3-23 04:38:38 | 显示全部楼层
发表于 2025-3-23 07:09:33 | 显示全部楼层
Chris Backes,Mariolina Eliantoniorise. At present, the value of data assets within the company is unclear, and there is no unified data asset pricing method to standardize pricing. The pricing of power data assets is an important basis for power data asset transactions. In order to solve the above problems, based on the analysis of
 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, 2025-7-1 07:01
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