中国计算机学会(CCF)推荐学术会议-B(数据库/数据挖掘/内容检索):PODS 2026

PODS 2026

The Principles of Database Systems (PODS) symposium series, held in conjunction with the SIGMOD conference series, provides a premier annual forum for the communication of new advances in the theoretical foundations of data management, traditional or nontraditional.

重要信息

CCF推荐:B(数据库/数据挖掘/内容检索)

录用率:34.1%(29/85,2023年)

时间地点:2026年5月31日-班加罗尔·印度

截稿时间:2025年12月3日

Call for Papers

Database processing: Query evaluation, query optimization, schema management, distributed data processing, approximate data processing

Database design: Data models, query languages, schemas, constraints

Database access: Data structures, access methods, concurrency, transactions

Data quality: Data cleaning, data discovery, data exploration

Data analysis: Data mining, machine learning, information extraction, data streams

Uncertainty: Incompleteness, inconsistency, ontological query answering, semi-structured data

Interoperability: Mappings and views, data integration, data exchange, ontology-based data access

Responsible data management: Access control, privacy, security, verification, ethical aspects of data management

Responsible data management: Access control, privacy, security, verification, ethical aspects of data management

Human-database interaction: data summarization, data visualization, explanation for database queries

Connections between database principles and other disciplines

Double-anonymous reviewing

PODS 2026 will use a lightweight double-anonymous reviewing process. This means that submissions must adhere to the following:

Author names and institutions must be omitted.

References to the authors' own related work should be in the third person.

Acknowledgements, grant numbers, and links to submitted papers in public repositories will not be allowed.

However, authors should feel free to disseminate their ideas or draft versions of their paper as they normally would. For instance, authors may post drafts of their papers on the web or give talks on their research ideas.

相关推荐
r***113314 分钟前
【玩转全栈】----Django模板语法、请求与响应
数据库·python·django
冉冰学姐15 分钟前
SSM计算机课程在线教育服务平台xpwo1(程序+源码+数据库+调试部署+开发环境)带论文文档1万字以上,文末可获取,系统界面在最后面
数据库
U***e6316 分钟前
JavaScript数据分析
开发语言·javascript·数据分析
Microsoft Word22 分钟前
商务数据分析与可视化
数据挖掘·数据分析
G***E3161 小时前
MySQL增强现实案例
数据库·mysql·ar
枫叶丹41 小时前
openGauss:面向数字时代的下一代企业级开源关系型数据库
开发语言·数据库·开源·自动化
苦学编程的谢1 小时前
Redis_16_哨兵
数据库·redis·缓存
w***74401 小时前
SQL Server 数据库迁移到 MySQL 的完整指南
android·数据库·mysql
Q26433650231 小时前
【有源码】spark与hadoop-情感挖掘+画像建模的携程酒店评价数据分析可视化系统-基于机器学习的携程酒店评价情感分析与竞争态势可视化
大数据·hadoop·python·机器学习·数据分析·spark·毕业设计
一 乐2 小时前
健身达人小程序|基于java+vue健身达人小程序的系统设计与实现(源码+数据库+文档)
java·前端·数据库·vue.js·spring boot·小程序