IMPORTANT DATES

  • Abstracts due: July 5th, 2020
  • Notification due: August 1st, 2020

Call for Distinguished Published PAPERS

Submissions in this category should be papers relevant to the conference topics and published or accepted for publication as full papers in 2019 or 2020 by a highly competitive conference. They will be accepted/rejected by the SBBD Steering Committee on the grounds of relevance and quality of the original publication venue.

These papers will not appear in the conference proceedings and thus cannot be considered as a new publication. The paper can be submitted “as is”, indicating explicitly the place where the work was published. This category aims to attract the best papers of the Brazilian community and give their authors the opportunity to present their work.

Papers must be submitted by email to PC chairs with the subject “[SBBD2020 Submission] Distinguished Published Paper”.

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 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
  • Database Usability, User Interfaces, and Visualization
  • Data Management for New Hardware Devices
  • Data Management for Machine Learning
  • Data Management in Clouds
  • Digital Libraries and Applications
  • 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, Knowledge Graphs, 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
  • Query and Dataflow Optimization
  • 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