IMPORTANT DATES – FULL PAPERS

Please check the list of accepted full papers for SBBD 2020!

  • Abstracts and submissions due: May 31st, June 19th, 2020
  • Notification due: July 26th August 1st, 2020
  • Camera-ready due: August 15th, 2020

Call for FULL PAPERS

Submissions in this category should present research results and discussion in any of the SBBD topics of interest. Full papers submitted to SBBD must not have been simultaneously submitted to any other forum (conference or journal), nor have already been published elsewhere.

The acceptance of a paper implies that at least one of its authors will register for the symposium to present it. Submitted papers will be reviewed based on originality, relevance, technical soundness, and clarity of presentation. SBBD will have a single-round review process. Full papers must be written in Portuguese or English and not exceed 12 pages, according to the SBC template.

All papers submitted in these categories must be written so as to allow double-blind review, which means that authors need to ensure that their submissions do not give away their identity, both in the text and in the references, following the Anonymity Requirements for Double-Blind Reviewing.

The templates for submission are available here. Papers must be submitted by the deadline through the JEMS website. Questions regarding FULL paper submission should be directed to the PC Chairs.

BEST PAPER and JMC AWARDS

SBBD 2020 will have the following awards, which will be announced during the conference: Best Full Paper Award (Prof. Jos̩ Mauro de Castilho РJMC Award) and Best Short Paper Award.

TOPICS OF INTEREST

Topics of interest include, but are not limited, to the following:

  • Access Methods, Indexing
  • Active Databases
  • Algorithms and Techniques for Data Mining
  • Array DBMSs
  • Authorization, Privacy, and Security in Databases
  • Big Data Frameworks and Ecosystems
  • Blockchain Architectures for Data Management
  • Collecting, Extracting and Indexing Web Data
  • Complex Event and Stream-based Processing
  • Concurrency Control and Recovery
  • Data Analytics and Data Visualization
  • Data Annotation and Provenance
  • Data Cleaning, Information Filtering, and Dissemination
  • Data Management for Machine Learning
  • Data Management in Clouds
  • Data Modeling
  • Data on the Web
  • Data Warehousing and OLAP
  • Database as Services
  • Database Design and Data Semantics
  • Database Techniques to support Data Mining
  • Database Foundations for Data Mining
  • Digital Libraries and Applications
  • Database Usability, User Interfaces, and Visualization
  • Document Management and Classification
  • Embedded and Mobile Databases
  • Graph Databases
  • Heterogeneous and Federated Database Systems
  • Incompleteness and Inconsistency in Databases
  • Information Integration and Interoperability
  • Information Retrieval Models and Techniques
  • In-memory Data Management
  • Knowledge Bases and Modeling
  • Machine Learning to support DBMS functionality
  • Multidimensional and Temporal Databases
  • NoSQL Databases
  • Parallel and Distributed Algorithms for Data Mining
  • Peer to peer, Parallel and Distributed Databases
  • Physical Database Design
  • Performance Evaluation and Benchmarking
  • Privacy and Security in Data Mining Algorithms
  • Probabilistic, Fuzzy and Approximate Data Management
  • Profile-based or Context-Aware Data Management
  • Query Languages and Processing
  • Real-time Databases
  • Recommender Systems
  • Schema Management and Design
  • Scientific and Statistical Databases
  • Self-managed and Autonomic Databases
  • Semantic Web, Linked Data and Ontologies
  • Semi-structured Data and XML
  • Sensor Data Processing and IOT on Data
  • Social Data Processing
  • Spatial Databases and Geographical Information Systems
  • String Processing and Stream Databases
  • Text Database
  • Transaction Management
  • Web Data Management
  • Workflow Applications and Databases