- 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
31st British International Conference on Databases
10-12 July 2017, London, UK
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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: