计算机类 | CCF推荐顶会信息5条

数据库管理与信息检索

EDBT 2019

International Conference on Extending Database Technology

摘要截稿: 2018-10-08

全文截稿: 2018-10-12

开会时间: 2019-03-26

会议难度: ★★★★

CCF分类: B类

会议地点: Lisbon, Portugal

网址：http://edbticdt2019.inesc-id.pt

The EDBT series of conferences is an established and prestigious forum for the exchange of the latest research results in data management. Held in an attractive European location, the conference provides unique opportunities for database researchers, practitioners, developers, and users to explore new ideas, techniques, and tools, and to exchange experiences. The previous events were held in Venice, Vienna, Cambridge, Avignon, Valencia, Konstanz, Prague, Heraklion, Munich, Nantes, St Petersburg, Lausanne, Uppsala, Berlin, Genoa, Athens, Brussels, Bordeaux, and Venice. Following the successful SIGMOD/PODS model, EDBT and ICDT are held annually as joint conferences, beginning in 2009.

信息安全及密码学

PKC 2019

International Conference on Practice and Theory in Public Key Cryptography

全文截稿: 2018-10-12

开会时间: 2019-04-14

会议难度: ★★★★

CCF分类: B类

会议地点: Beijing, China

网址：https://pkc.iacr.org/2019/

This is the 22nd edition of the International Conference on Practice and Theory of Public Key Cryptography, the main annual conference with an explicit focus on public-key cryptography, sponsored by IACR, the International Association for Cryptologic Research. Original research papers on all aspects of public-key cryptography, covering theory, implementations and applications, are solicited for submission to PKC 2019. Accepted papers will be published by Springer in their Lecture Notes in Computer Science series.

数据库管理与信息检索

SDM 2019

SIAM International Conference on Data Mining

全文截稿: 2018-10-12

开会时间: 2019-05-02

会议难度: ★★★★

CCF分类: B类

会议地点: Calgary, Alberta, Canada

网址：http://www.siam.org/conferences/CM/Main/sdm19

Data mining is the computational process for discovering valuable knowledge from data – the core of modern Data Science. It has enormous applications in numerous fields, including science, engineering, healthcare, business, and medicine. Typical datasets in these fields are large, complex, and often noisy. Extracting knowledge from these datasets requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms. These techniques in turn require implementations on high performance computational infrastructure that are carefully tuned for performance. Powerful visualization technologies along with effective user interfaces are also essential to make data mining tools appealing to researchers, analysts, data scientists and application developers from different disciplines, as well as usable by stakeholders.

SDM has established itself as a leading conference in the field of data mining and provides a venue for researchers who are addressing these problems to present their work in a peer-reviewed forum. SDM emphasizes principled methods with solid mathematical foundation, is known for its high-quality and high-impact technical papers, and offers a strong workshop and tutorial program (which are included in the conference registration). The proceedings of the conference are published in archival form, and are also made available on the SIAM web site.

数据库管理与信息检索

ICDE 2019

IEEE International Conference on Data Engineering

摘要截稿: 2018-10-08

全文截稿: 2018-10-15

开会时间: 2019-04-08

会议难度: ★★★★★

CCF分类: A类

会议地点: Macau, China

网址：null

The annual IEEE International Conference on Data Engineering (ICDE) addresses research issues in designing, building, managing, and evaluating advanced data-intensive systems and applications. It is a leading forum for researchers, practitioners, developers, and users to explore cutting-edge ideas and to exchange techniques, tools, and experiences. We invite the submission of original research contributions.

Macau is a Special Administrative Region of the People’s Republic of China, like Hong Kong. The tiny SAR is growing in size – with more buildings on reclaimed land – and in the number and diversity of its attractions. The greatest of these continues to be Macao’s unique society, with communities from the East and West complementing each other.

We encourage submissions of high quality original research contributions in the following areas. We also welcome any original contributions that may cross the boundaries among areas or point in other novel directions of interest to the database research community:

Benchmarking, Performance Modelling, and Tuning
Data Integration, Metadata Management, and Interoperability
Data Mining and Knowledge Discovery
Data Models, Semantics, Query languages
Data Provenance, cleaning, curation
Data Science
Data Stream Systems and Sensor Networks
Data Visualization and Interactive Data Exploration
Database Privacy, Security, and Trust

Distributed, Parallel and P2P Data Management
Graphs, RDF, Web Data and Social Networks
Database technology for machine learning
Modern Hardware and In-Memory Database Systems
Query Processing, Indexing, and Optimization
Search and Information extraction
Strings, Texts, and Keyword Search
Temporal, Spatial, Mobile and Multimedia
Uncertain, Probabilistic Databases
Workflows, Scientific Data Management

计算机体系结构,并行与分布式计算

RTAS 2019

IEEE Real-Time and Embedded Systems and Applications Symposium

全文截稿: 2018-10-17

开会时间: 2019-04-16

会议难度: ★★★★

CCF分类: B类

会议地点: Montreal, Canada

网址：http://2019.rtas.org

RTAS’19, the 25th in a series of annual conferences sponsored by the IEEE, will be held in Montreal, Canada, as part of the Cyber-Physical Systems Week (CPSWeek) in April, 2019. The scope of RTAS’19 consists of three tracks:

Track 1: Applications, Operating Systems and Run-Time Software;
Track 2: Applied Methodologies and Foundations; and
Track 3: Hardware Architectures and Analysis Tools.
Expanded scope: RTAS is a top-tier conference with a focus on systems research related to embedded systems and time-sensitive systems (of any size). The broad scope of RTAS’19 ranges from traditional hard real-time systems to embedded systems without explicit timing requirements, including latency-sensitive systems with informal or soft real-time requirements.

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