Distributed And Parallel Databases

杂志介绍

Distributed And Parallel Databases杂志介绍

《Distributed And Parallel Databases》是一本以English为主的未开放获取国际优秀期刊，中文名称分布式和并行数据库，本刊主要出版、报道计算机科学-计算机信息系统领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCI、SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为1.1，最新CiteScore 指数为5.9。

本刊近期中国学者发表的论文主要有：

• CC-HGNN: enhanced multi-task feature learning via cross-task contrastive learning and graph neural network

  Author: Xu, Yi; Shu, Zhipeng

• FineStore-SL: An efficient and verifiable learning index based on skip lis

  Author: Tian, Xiuxia; Wang, Chunhui

英文介绍

Distributed And Parallel Databases杂志英文介绍

Distributed and Parallel Databases publishes papers in all the traditional as well as most emerging areas of database research, including:

Availability and reliability;

Benchmarking and performance evaluation, and tuning;

Big Data Storage and Processing;

Cloud Computing and Database-as-a-Service;

Crowdsourcing;

Data curation, annotation and provenance;

Data integration, metadata Management, and interoperability;

Data models, semantics, query languages;

Data mining and knowledge discovery;

Data privacy, security, trust;

Data provenance, workflows, Scientific Data Management;

Data visualization and interactive data exploration;

Data warehousing, OLAP, Analytics;

Graph data management, RDF, social networks;

Information Extraction and Data Cleaning;

Middleware and Workflow Management;

Modern Hardware and In-Memory Database Systems;

Query Processing and Optimization;

Semantic Web and open data;

Social Networks;

Storage, indexing, and physical database design;

Streams, sensor networks, and complex event processing;

Strings, Texts, and Keyword Search;

Spatial, temporal, and spatio-temporal databases;

Transaction processing;

Uncertain, probabilistic, and approximate databases.