2020年 数据库领域 顶级会议 还有哪些没截稿
以下为接下来的三个月内的截稿的CCF推荐，数据库领域会议，按照时间排序。
本月截稿会议不在列表中。
个别会议因为没有公布截稿信息而不在列表中。
录取率信息为网络上可获得的最近年份数据，不一定是上一年的，文中尽量选择同时带有投稿量的数据年份供大家参考。
Core Ranking会排除Not primarily CS或者是national的会议，个别未上榜会议不代表会议水平差。
具体列表如下：
| PAKDD |
| 会议全称：Pacific-Asia Conference on Knowledge Discovery and Data Mining 会议网址：https://pakdd2021.org/ 会议地点：Delhi, India CCF分类：C 类 Core分类：A 类 H5指数：23 录取率：21.5% (135/628) |
| 截稿日期：2020年11月23日 评审结果：2021年02月01日 会议时间：2021年05月11日 |
| SPECIFIC AREAS OF INTEREST: PAKDD 2021 welcomes high-quality, original, and previously unpublished submissions in the theory, practice, and applications on all aspects of knowledge discovery and data mining. Topics of relevance for the conference include, but not limited to, the following:
Data Science: Methods for analyzing scientific and business data, social networks, time series; mining sequences, streams, text, web, graphs, rules, patterns, logs data, IoT data, spatio-temporal data, biological data; recommender systems, computational advertising, multimedia, finance, bioinformatics.
Big Data: Large-scale systems for text and graph analysis, sampling, parallel and distributed data mining (cloud, map-reduce, federated learning), novel algorithmic, and statistical techniques for big data.
Foundations: Models and algorithms, asymptotic analysis; model selection, dimensionality reduction, relational/structured learning, matrix and tensor methods, probabilistic and statistical methods; deep learning, meta-learning, reinforcement learning; classification, clustering, regression, semi-supervised and unsupervised learning; personalization, security and privacy, visualization; fairness, interpretability, and robustness |
| PODS |
| 会议全称：ACM Symposium on Principles of Database Systems 会议网址：http://sigmodconf.hosting.acm.org/2021/index.shtml 会议地点：Xi an, China CCF分类：B 类 Core分类：A*类 H5指数：25 录取率：33% (31/94) |
| 截稿日期：2020年12月11日 评审结果：2021年03月05日 会议时间：2021年06月20日 |
| SPECIFIC AREAS OF INTEREST: For the 40th edition, PODS continues to aim to broaden its scope, and calls for research papers providing original, substantial contributions along one or more of the following tracks: deep theoretical exploration of topical areas central to data management new formal frameworks that aim at providing a basis for deeper theoretical investigation of important emerging issues in data management validation of theoretical approaches from the lens of practical applicability in data management. Papers in this track should provide an experimental evaluation that gives new insight in established theories. Besides, they should provide a clear message to the database theory community as to which aspects need further (theoretical) investigation, based on the experimental findings.
Topics that fit the interests of the symposium include, but are not limited to: concurrency & recovery, distributed/parallel databases, cloud computing data and knowledge integration and exchange, data provenance, views and data warehouses, metadata management data-centric (business) process management, workflows, web services data management and machine learning data mining, information extraction, search data models, data structures, algorithms for data management data privacy and security, human-related data and ethics data streams design, semantics, query languages domain-specific databases (multi-media, scientific, spatial, temporal, text) graph databases and (semantic) Web data incompleteness, inconsistency, uncertainty in data management knowledge-enriched data management model theory, logics, algebras, computational complexity |
| ESWC |
| 会议全称：Extended Semantic Web Conference 会议网址：https://2021.eswc-conferences.org/ 会议地点：Hersonissos, Greece CCF分类：C 类 Core分类：A 类 H5指数：28 录取率：23.5% (39/166) |
| 截稿日期：2020年12月11日 评审结果：2021年02月22日 会议时间：2021年06月06日 |
| SPECIFIC AREAS OF INTEREST: We have reworked the topics of our research track. Please take a look at the individual calls for papers for these subtracks: Data Dynamics, Quality, and Trust Knowledge Graphs Machine Learning Matching, Integration, and Fusion NLP and Information Retrieval Ontologies and Reasoning Problems to Solve Before You Die Replication Studies Science Data and Scholarly Communication Semantic Data Management, Querying, and Distributed Data |