BICOD (formerly BNCOD) is an international venue for research papers in the broad area of data management. The conference has a long tradition of presenting research from both the UK and internationally ‐ see for example BNCOD 2013 and BICOD 2015. For the last few years, every edition has been associated with a theme, acting as a focal point for keynote addresses, research papers and tutorials. The theme of BICOD 2017 is Data Analytics, that is, the process of deriving higher-level information from (usually large) sets of raw data.
The BICOD 2017 programme features keynotes from three distinguished speakers: Sihem Amer-Yahia, Laboratoire d'Informatique de Grenoble, on user data analytics, Tim Furche, University of Oxford and Wrapidity, on intelligent information extraction from the Web, and Elena Baralis, Politecnico di Torino, on deriving rules from data; and also invited tutorials by Vasiliki Kalavri, ETH Zürich, on distributed graph processing, and Leopoldo Bertossi, Carleton University, on data quality specification.
The programme features accepted papers in the following areas:
Data cleansing
Data mining and knowledge discovery
Data integration and warehousing
Data stream processing
Data wrangling
Graph data and Knowledge Graphs
Cloud data management
Handling incomplete information
Intelligent data analysis
Multidimensional data management
Scalability in data management
Statistical data analysis
Approximate and flexible querying
Data indexing and summarisation
Data provenance
Ontology-based data access
Query languages and query optimisation
07月10日
2017
07月12日
2017
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