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ACM TRANSACTIONS ON DATABASE SYSTEMS

ACM TRANSACTIONS ON DATABASE SYSTEMS期刊基本信息

  • 簡(jiǎn)稱:ACM T DATABASE SYST
  • 大類:工程技術(shù)
  • 小類:計(jì)算機(jī):信息系統(tǒng)
  • ISSN:0362-5915
  • IF值:1.9
  • 周期:Quarterly
  • 是否SCI:SCI/SCIE
  • 是否OA:No
  • 出版地:UNITED STATES
  • 年文章數(shù):24
  • 審稿速度:>12周,或約稿
  • 平均錄用比例:容易
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ACM TRANSACTIONS ON DATABASE SYSTEMS中文簡(jiǎn)介

ACM數(shù)據(jù)庫(kù)系統(tǒng)事務(wù)(TODS)是一個(gè)著名的出版物,為計(jì)算機(jī)科學(xué)家在數(shù)據(jù)管理領(lǐng)域的工作。在這個(gè)日益多方面和快速發(fā)展的領(lǐng)域,TODS的目標(biāo)是出版高質(zhì)量和有影響力的結(jié)果,代表著理論和實(shí)踐的融合。在這樣做的過(guò)程中,TODS提供了對(duì)數(shù)據(jù)庫(kù)研究中最優(yōu)秀思想的洞察。TODS包括結(jié)構(gòu)化和非結(jié)構(gòu)化數(shù)據(jù)的管理,包括文本和XML數(shù)據(jù);時(shí)空數(shù)據(jù);多媒體數(shù)據(jù);科學(xué)數(shù)據(jù);圖形數(shù)據(jù);傳感器數(shù)據(jù);不確定數(shù)據(jù);流式數(shù)據(jù)。主題包括但不限于數(shù)據(jù)庫(kù)系統(tǒng)的以下方面:數(shù)據(jù)建模和語(yǔ)義、數(shù)據(jù)庫(kù)設(shè)計(jì);數(shù)據(jù)模型和查詢語(yǔ)言;查詢處理和優(yōu)化;分析、聚合、倉(cāng)儲(chǔ)、OLAP;存儲(chǔ)、物理數(shù)據(jù)庫(kù)設(shè)計(jì);訪問(wèn)方法和索引;事務(wù)管理和處理;數(shù)據(jù)集成;安全、隱私、身份驗(yàn)證、來(lái)源和信任;云計(jì)算;數(shù)據(jù)管理應(yīng)用程序和基礎(chǔ)設(shè)施;系統(tǒng)架構(gòu);分布式數(shù)據(jù)管理;內(nèi)存數(shù)據(jù)管理。

ACM TRANSACTIONS ON DATABASE SYSTEMS英文簡(jiǎn)介

ACM Transactions on Database Systems (TODS) is a prestigious publication for computer scientists working in the area of data management. In this increasingly multi-faceted and rapidly evolving area, TODS aims to publish high-quality and influential results that represent a fusion of theory and practice. In doing so, TODS provides insights into the thoughts of the best minds in database research.TODS covers the management of structured and unstructured data, including text and XML data; spatial and temporal data; multimedia data; scientific data; graph data; sensor data; uncertain data; streaming data.Topics include, but are not limited to, the following aspects of database systems: data modeling and semantics, database design; data models and query languages; query processing and optimization; analytics, aggregation, warehousing, OLAP; storage, physical database design; access methods and indexing; transaction management and processing; data integration; security, privacy, authentication, provenance, and trust; cloud computing; data management applications and infrastructures; systems architectures; distributed data management; and in-memory data management.

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