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: Database and Expert Systems Applications; 34th International C Christine Strauss,Toshiyuki Amagasa,Ismail Khalil Conference proceedings 202

[复制链接]
楼主: 厌氧
发表于 2025-3-23 13:35:47 | 显示全部楼层
https://doi.org/10.1007/978-3-658-31316-6 are not free from errors, which include among others wrong and missing values as well as duplicates. Data deduplication has received a lot of attention from the research community. The research efforts have resulted in a state-of-the-art data deduplication pipeline, supported by software tools and
发表于 2025-3-23 14:24:47 | 显示全部楼层
Allgemeiner Managementkreislaufuerying semantic evolved data, which conciliate the multiple versions the data may have. An implementation of the model and algorithms, MellowDB, was developed, and its performance was analyzed, showing the proposed algorithms and model are feasible.
发表于 2025-3-23 22:05:27 | 显示全部楼层
发表于 2025-3-23 23:53:50 | 显示全部楼层
Timothy Kaufmann,Karsten Oehlers to launch tuning requests periodically, yet resource-intensive tuning sessions can obstruct it, particularly when dealing with frequently varying workloads..To tackle this challenge, we propose a learned tuning diagnostic that can be incorporated into the . paradigm for online index tuning. Rather
发表于 2025-3-24 05:39:08 | 显示全部楼层
Controlling mit der SAP Analytics Cloudmulti-dimensional data applications are generally data-intensive, array databases can benefit from multi-processing systems to improve performance. However, when dealing with Non-Uniform Memory Access (NUMA) machines, the movement of massive amounts of data across NUMA nodes may result in significan
发表于 2025-3-24 09:05:10 | 显示全部楼层
https://doi.org/10.34157/978-3-648-17372-5mework of LDP, before they are transmitted to the server. This technology can be applied to various data types, including key-value data. However, in existing LDP mechanisms for key-value data, it is difficult to balance data utility and communication costs, particularly when the domain of keys is l
发表于 2025-3-24 11:03:18 | 显示全部楼层
发表于 2025-3-24 18:24:43 | 显示全部楼层
发表于 2025-3-24 21:55:48 | 显示全部楼层
发表于 2025-3-24 23:42:29 | 显示全部楼层
Effective and Efficient Heuristic Algorithms for Supporting Optimal Location of Hubs over Networks won of the mathematical model that we carved to fit the operational needs of .. Afterwards, we propose . able to solve the problem in a faster way with .. The heuristic algorithms proposed in our framework progressively reach a good approximation of the solution. Experimental results confirm the benefits of our approach.
 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, 2025-5-11 06:17
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