DISTRIBUTED AND PARALLEL DATABASES Q3区

期刊简介

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.

分布式和并行数据库在所有传统的以及最新兴的数据库研究领域发表论文，包括：可用性和可靠性;基准测试和绩效评估，以及调整;大数据存储与处理;云计算与数据库即服务众包;数据管理、注释和来源;数据集成、元数据管理和互操作性;数据模型、语义、查询语言;数据挖掘与知识发现;数据隐私、安全、信任;数据来源、工作流程、科学数据管理;数据可视化和交互式数据探索数据仓库、OLAP、分析;图形数据管理、RDF、社交网络;信息抽取与数据清洗中间件与工作流管理现代硬件和内存数据库系统查询处理和优化;语义Web与开放数据社交网络;存储、索引和物理数据库设计;流、传感器网络和复杂事件处理;字符串、文本和关键字搜索;空间、时间和时空数据库;事务处理;不确定、概率和近似数据库。

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