CCF推荐会议 | 数据库/数据挖掘：截稿日期纵览（含SIGMOD, ICDE等）

ECIR

会议全称：European Conference on Information Retrieval

会议网址：https://www.ecir2024.org/

会议地点：Glasgow, Scotland

CCF分类：C 类

Core分类：A类

H5指数：27

影响力值：3.3

录取率：ECIR’23 21.7% (65+41)/489

IMPORTANT DATES:

Full Paper Abstract 20 September 2023

Full Paper Submission 27 September 2023

Short and Reproducibility Paper Abstract 4 October 2023

11 October 2023 Short, Demo and Reproducibility Paper Submission; Workshop proposals notifications

SPECIFIC AREAS OF INTEREST:

The 46th European Conference on Information Retrieval (ECIR) is the annual premier European forum for the presentation of new research results in the broadly conceived area of Information Retrieval.

ECIR provides an opportunity for both young and established researchers to present research papers reporting new, unpublished, and innovative research results.

ECIR has traditionally had a strong student focus and papers whose sole or main author is a postgraduate student or postdoctoral researcher are especially welcome. ECIR 2024 is planned to be held as a physical conference (with support for remote attendance) from the 24th to the 28th of March 2024 in Glasgow, Scotland.

EDBT

会议全称：International Conference on Extending DB Technology

会议网址：http://www.edbt.org/

会议地点：Paestum, Italy

CCF分类：B 类

Core分类：A类

H5指数：28

影响力值：3.13

录取率：EDBT'20 19.9% (30/151)

IMPORTANT DATES:

Submission deadlines for 2024 are Feb 15, 2023; June 1, 2023; October 3, 2023.

SPECIFIC AREAS OF INTEREST:

The EDBT Association is a non-political and non-profit organization for promoting and supporting research and progress in the fields of databases and information systems technology and applications. It was formed in 1990 to provide a stable structure to support the continuity of the EDBT Conference series; it changed its legal status in 1995, assuming the current legal form of an association according to Italian laws.

Our major activity is the promotion of the International Conference on Extending Database Technology (EDBT), which has been held every two years since 1988. From 2008 on, the Conference is being held annually.

The EDBT Association has close relationships with other organizations in the database field, including ACM SIGMOD, IEEE TC on Data Engineering, VLDB Endowment, and the ICDT Council.

ICDT

会议全称：International Conference on Database Theory

会议网址：https://dastlab.github.io/edbticdt2024/

会议地点：Paestum, Italy

CCF分类：B 类

Core分类：A类

H5指数：21

影响力值：2.2

录取率：ICDT'20 31.9% (22/69)

IMPORTANT DATES:

October 3, 2023 (AoE): Paper submission

November 6-10, 2023 (AoE): Author feedback phase

December 7, 2023 (AoE): Notification of accept/revise/reject

January 8, 2024 (AoE): Revised paper submission

January 31, 2024 (AoE): Notification of accept/reject for revised submissions

SPECIFIC AREAS OF INTEREST:

A list of specific topics of interest is provided below, and is by no means exhaustive:

Availability, reliability, and scalability

Big data storage, processing and transformation

Cloud data management

Complex event processing and data streams

Concurrency control, recovery and transaction management

Crowdsourced and collaborative data management

Data integration and heterogeneous data management

Data management and analytics for semantic web and social networks

Data mining and knowledge discovery

Data models and semantics

Data platforms for modern hardware, and modern hardware for data platforms

Data quality, curation, and provenance

Data sovereignty, privacy, security, and access control

Data system benchmarking, tuning, monitoring, and performance evaluation

Data visualization

Data warehousing, large-scale analytics and ETL tools

Distributed and parallel data management, distributed ledgers, and blockchains

Graph data management

Human-data interaction

Knowledge graphs and knowledge management

Metadata management and standards

Middleware and workflow management

ML/AI for DB, and DB for AI/ML

Query processing and optimization

Responsible data management

Scientific and statistical data management

Semi-structured data management

Sensor and mobile data management

Spatial, temporal, and geographic data management

Text data management and information retrieval

Uncertain, probabilistic, and approximate data management

Usability, automaticity, interpretability, and explainability of data systems

SIGMOD

会议全称：ACM Conference on Management of Data

会议网址：https://sigmodconf.hosting.acm.org/2024/index.shtml

会议地点：Santiago, Chile

CCF分类：A 类

Core分类：A* 类

H5指数：68

影响力值：10.06

录取率：SIGMOD’22 29.3% (151/514)

如需入投稿交流群，请添加助手微信并备注【SIGMOD+昵称+单位】

IMPORTANT DATES:

October 15, 2023: Paper submission

November 26-30, 2023: Author feedback phase

December 20, 2023: Notification of accept/reject/review again

January 20, 2024: Revised paper submission

February 23, 2024: Final notification of accept/reject

SPECIFIC AREAS OF INTEREST:

Regular Track

We invite the submission of original research contributions relating to all aspects of data management.

Data Management for Data Science (DMDS) Special Track

We invite the submission of original data science research targeting the data life cycle of real applications, studying phenomena at scales, complexities, and granularities never before possible. This data life cycle encompasses databases/data management/data systems/data engineering often leveraging statistical, machine learning, and artificial intelligence methods and, in many instances, using massive and heterogeneous collections of potentially noisy datasets. Such papers are expected to focus on data-intensive components of data science pipelines; and solve problems in areas of interest to our community (e.g., data curation, optimization, performance, storage, systems). Submissions are expected to describe (a) deployed solutions to data science pipelines and/or (b) fundamental experiences and insights from evaluating real-world data science problems. We expect that the related systems and/or datasets (including possibly query logs) will be accessible for the data management research community in order to promote future research directions.

Data-intensive Applications (DIA) Special Track

We invite the submission of papers describing applications, systems, and datasets (e.g. content, creation, quality), along with the underlying practical data management problems and related research challenges. These applications may stem from outside the core data management community (e.g., computer graphics, computer networking) or even from outside computer science (e.g., astronomy, genomics, healthcare), but have clearly demonstrated non-trivial data-centric challenges necessitating novel systems and technologies. Submissions may describe fundamental experiences and insights gained from deployment or detailed evaluation of data-intensive systems in particular application domains. We expect that the related systems and/or datasets (including possibly query logs) will be accessible for the data management research community in order to promote future research directions.

PODS

会议全称：ACM SIGMOD Conference on Principles of DB Systems

会议网址：https://sigmodconf.hosting.acm.org/2024/index.shtml

会议地点：Santiago, Chile

CCF分类：B 类

Core分类：A*类

H5指数：26

影响力值：4.79

录取率：PODS'23 34% (29/85)

IMPORTANT DATES:

October 15, 2023: Paper submission

November 26-30, 2023: Author feedback phase

December 20, 2023: Notification of accept/reject/review again

January 20, 2024: Revised paper submission

February 23, 2024: Final notification of accept/reject

SPECIFIC AREAS OF INTEREST:

There are three research tracks in SIGMOD 2024:

Regular Track

We invite the submission of original research contributions relating to all aspects of data management.

Data Management for Data Science (DMDS) Special Track

We invite the submission of original data science research targeting the data life cycle of real applications, studying phenomena at scales, complexities, and granularities never before possible. This data life cycle encompasses databases/data management/data systems/data engineering often leveraging statistical, machine learning, and artificial intelligence methods and, in many instances, using massive and heterogeneous collections of potentially noisy datasets. Such papers are expected to focus on data-intensive components of data science pipelines; and solve problems in areas of interest to our community (e.g., data curation, optimization, performance, storage, systems). Submissions are expected to describe (a) deployed solutions to data science pipelines and/or (b) fundamental experiences and insights from evaluating real-world data science problems. We expect that the related systems and/or datasets (including possibly query logs) will be accessible for the data management research community in order to promote future research directions.

Data-intensive Applications (DIA) Special Track

We invite the submission of papers describing applications, systems, and datasets (e.g. content, creation, quality), along with the underlying practical data management problems and related research challenges. These applications may stem from outside the core data management community (e.g., computer graphics, computer networking) or even from outside computer science (e.g., astronomy, genomics, healthcare), but have clearly demonstrated non-trivial data-centric challenges necessitating novel systems and technologies. Submissions may describe fundamental experiences and insights gained from deployment or detailed evaluation of data-intensive systems in particular application domains. We expect that the related systems and/or datasets (including possibly query logs) will be accessible for the data management research community in order to promote future research directions.

DASFAA

会议全称：International Conference on Database Systems for Advanced Applications

会议网址：https://www.dasfaa2024.org/

会议地点：Gifu, Japan

CCF分类：B 类

Core分类：B类

H5指数：20

影响力值：2.8

录取率：DASFAA'23 29.3% ((125+66)/652)

如需入投稿交流群，请添加助手微信并备注【DASFAA+昵称+单位】

IMPORTANT DATES:

Abstract submission: October 20, 2023

Paper submission: October 27, 2023

Acceptance notification: January 19, 2024

Camera ready: February 16, 2024

SPECIFIC AREAS OF INTEREST:

Database core technology

Query processing and optimization

Index and storage systems

Data model and query language

Databases for emerging hardware

Machine learning for database

Data warehouse and OLAP

Transaction management

Domain-specific/advanced database systems

Data processing in VR/AR/MR

Graph data management

Data management in social networks

Embedded and mobile databases

Temporal and spatial databases

Data streams and time-series data

Knowledge management

Text databases

Multimedia databases

HCI for modern information systems

Natural language query interface

Probabilistic and uncertain data

Sensor data management

Statistical and scientific databases

Cloud data management

Cloud data management

Big Data data management (e.g, MapReduce, Spark)

Parallel and distributed database systems

Data semantics and data integration

Information integration

Blockchain

Data science and advanced applications

Data science

Data-driven AI technology

Data mining and knowledge discovery

Neural network

Graph and social network analysis

RDF and knowledge graphs

Text and data mining

Advanced applications

Search and recommendation technology

Security, privacy, and trust

Data quality and credibility

Bio and health informatics

Data science for epidemics (e.g., COVID-19)

Semantic Web and knowledge management

Crowd-sourcing

Data archive and digital library

Web information systems

Information extraction and summarization

PAKDD

会议全称：Pacific-Asia Conference on Knowledge Discovery and Data Mining

会议网址：https://pakdd2024.org/

会议地点：Taipei, Taiwan, China

CCF分类：C 类

Core分类：A类

H5指数：29

影响力值：3.4

录取率：PAKDD'23 17.6% (143/813)

如需入投稿交流群，请添加助手微信并备注【PAKDD+昵称+单位】

IMPORTANT DATES:

Paper Submission Deadline：November 1, 2023

Paper Acceptance Notification：January 10, 2024

Camera Ready Papers Due：February 5, 2024

Conference Dates：May 7 ~ 10, 2024

SPECIFIC AREAS OF INTEREST:

Data mining is the computational process of discovering valuable knowledge from data and has been widely recognized as the cornerstone of Data Science. It plays a key role in important applications in science, engineering, healthcare, business, and medicine. Typical datasets in these fields are usually massive, complex, and noisy. Extracting knowledge from these datasets requires sophisticated, high-performance, and principled analysis techniques and algorithms, with sound theoretical and statistical foundations. These techniques, in turn, require implementation on computational infrastructures optimized for high performance. Powerful visualization technologies and comprehensive user interfaces are also essential for data mining tools appealing to researchers, analysts, data scientists, and application developers from different disciplines.

The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is one of the premier and leading international conferences for data mining. The 28th edition of PAKDD will be held in Taipei, Taiwan, from May 7–10, 2024. PAKDD is a prestigious and highly selective conference that includes invited talks as well as refereed full research papers. It provides an international peer-reviewed forum for researchers and industry practitioners who are addressing the problems to share their new ideas, original research results, and practical development experiences from all KDD-related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and emerging applications. Everyone new to the field has many opportunities to learn about cutting-edge research by attending visionary keynote speeches, paper presentations, tutorials, and workshops.

This year, the dominant topics include data cleaning and preparation, data transformation, mining, inference, learning, explainability, data privacy, dissemination of results, theoretical foundations for novel models and algorithms for data science problems in science, business, medicine, and engineering, along with an emphasis on practical yet principled novel models of search and data mining, algorithm design and analysis, economic implications, and in-depth experimental analysis of accuracy and performance. We also invite paper submissions at the intersection of data science and society as part of the research track.

ICDE

会议全称：International Conference on Data Engineering

会议网址：https://icde2024.github.io/

会议地点：Utrecht, Netherlands

CCF分类：A 类

Core分类：A* 类

H5指数：55

影响力值：8.25

录取率：ICDE23 30.6% (229/748)

如需入投稿交流群，请添加助手微信并备注【ICDE+昵称+单位】

IMPORTANT DATES:

Submission due: November 24, 2023 (Friday)

Notification for Authors (Accept/Revise/Reject): December 22, 2023 (Friday)

Revision Due: January 19, 2024 (Friday)

Notification to authors (Accept/Reject): February 16, 2024 (Friday)

Camera-ready copy due: March 1, 2024 (Friday)

SPECIFIC AREAS OF INTEREST:

We invite the submission of original research contributions in the following areas.

AI for Database Systems

Benchmarking, Performance Modeling, Tuning, and Testing

Cloud Data Management

Crowdsourcing

Data Mining and Knowledge Discovery

Data Models, Semantics, Query languages

Data Stream Systems and Edge Computing

Data Visualization and Interactive Data Exploration

Database Security and Privacy

Database technology for AI

Database technology for Blockchains

Distributed, Parallel and P2P Data Management

Explainability, Fairness, and Trust in Data Systems and Analysis

Graphs, Networks, and Semistructured Data

Information Integration and Data Quality

IoT Data Management

Modern Hardware and In-Memory Database Systems

Query Processing, Indexing, and Optimization

Spatial Databases and Temporal Databases

Text, Semi-Structured Data, IR, Image, and Multimedia databases

Uncertain, Probabilistic, and Approximate Databases

Very Large Data Science Applications/pipelines

Workflows, Scientific Data Management