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: Data Security and Security Data; 27th British Nationa Lachlan M. MacKinnon Conference proceedings 2012 Springer-Verlag GmbH Berlin Heidelbe

[复制链接]
查看: 7051|回复: 65
发表于 2025-3-21 20:01:53 | 显示全部楼层 |阅读模式
书目名称Data Security and Security Data
副标题27th British Nationa
编辑Lachlan M. MacKinnon
视频video
概述Up to date results.Fast-track conference proceedings.State of the art research
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Data Security and Security Data; 27th British Nationa Lachlan M. MacKinnon Conference proceedings 2012 Springer-Verlag GmbH Berlin Heidelbe
描述This book constitutes the thoroughly refereed post-conference proceedings of the 27th British National Conference on Databases, BNCOD 27, held in Dundee, UK, in June 2010. The 10 revised full papers and 6 short papers, presented together with 3 invited papers, 1 best paper of the associated event on Teaching, Learning and Assessment of Databases (TLAD), and 2 PhD forum best papers were carefully reviewed and selected from 42 submissions. Special focus of the conference has been "Data Security and Security Data" and so the papers cover a wide range of topics such as data security, privacy and trust, security data, data integration and interoperability, data management for ubiquitous and mobile computing, data mining and information extraction, data modelling and architectures, data provenance, dataspaces, data streaming, databases and the grid, distributed information systems, electronic commerce, enterprise systems, heterogeneous databases, industrial applications, infrastructures and systems, intermittently connected data, file access methods and index structures, managing legacy data, new applications and processes, parallel and distributed databases, peer-to-peer data management
出版日期Conference proceedings 2012
关键词database-driven applications; event constraints ^; information system engineering; privacy-preserving
版次1
doihttps://doi.org/10.1007/978-3-642-25704-9
isbn_softcover978-3-642-25703-2
isbn_ebook978-3-642-25704-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2012
The information of publication is updating

书目名称Data Security and Security Data影响因子(影响力)




书目名称Data Security and Security Data影响因子(影响力)学科排名




书目名称Data Security and Security Data网络公开度




书目名称Data Security and Security Data网络公开度学科排名




书目名称Data Security and Security Data被引频次




书目名称Data Security and Security Data被引频次学科排名




书目名称Data Security and Security Data年度引用




书目名称Data Security and Security Data年度引用学科排名




书目名称Data Security and Security Data读者反馈




书目名称Data Security and Security 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 23:25:45 | 显示全部楼层
Whither BNCOD? The Future of Database and Information Systems Researchetical, to more application-oriented subjects. It has proved to be a forum for intellectual debate, and has fostered a sense of community amongst British and overseas database researchers..Databases have been incredibly successful with most businesses relying on them. However, there are still plenty
发表于 2025-3-22 03:14:03 | 显示全部楼层
发表于 2025-3-22 08:28:28 | 显示全部楼层
Access Control Using Active Rulespplications active by detecting and reacting to changes. In this paper, we show how active rules can be used to enforce Role-Based Access Control (RBAC) standard. First, we analyze different components of active rules and their mappings for enforcing RBAC standard. Second, we discuss how RBAC standa
发表于 2025-3-22 11:28:36 | 显示全部楼层
Providing Group Anonymity Using Wavelet Transformh information can be divided into two main subclasses, namely, individual and group data anonymity. By group anonymity we define protecting important data patterns, distributions, and collective features which cannot be determined through analyzing individual records only..An effective and comparati
发表于 2025-3-22 16:43:26 | 显示全部楼层
Efficient Model Selection for Large-Scale Nearest-Neighbor Data Miningon, density estimation, and information retrieval. To use .-nn, a practitioner must first choose ., usually selecting the . with the minimal loss estimated by cross-validation. In this work, we begin with an existing but little-studied method that greatly accelerates the cross-validation process for
发表于 2025-3-22 17:18:27 | 显示全部楼层
发表于 2025-3-22 22:50:01 | 显示全部楼层
发表于 2025-3-23 01:59:46 | 显示全部楼层
发表于 2025-3-23 08:33:56 | 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, 2025-5-25 06:00
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