Elements of information theory
Elements of information theory
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Polaris: A System for Query, Analysis, and Visualization of Multidimensional Relational Databases
IEEE Transactions on Visualization and Computer Graphics
Visualization Techniques for Mining Large Databases: A Comparison
IEEE Transactions on Knowledge and Data Engineering
Discovery-Driven Exploration of OLAP Data Cubes
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Comparing clusterings---an information based distance
Journal of Multivariate Analysis
ACM Transactions on Knowledge Discovery from Data (TKDD)
Query Recommendations for Interactive Database Exploration
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Database architecture evolution: mammals flourished long before dinosaurs became extinct
Proceedings of the VLDB Endowment
SnipSuggest: context-aware autocompletion for SQL
Proceedings of the VLDB Endowment
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Exploration is the act of investigating unknown regions. An analyst exploring a database cannot, by definition, compose the right query or use the appropriate data mining algorithm. However, current data management tools cannot operate without well defined instructions. Therefore, browsing an unknown database can be a very tedious process. Our project, Atlas, is an attempt to circumvent this problem. Atlas is an active DBMS front-end, designed for database exploration. It generates and ranks several data maps from a user query. A data map is a small set of database queries (less than a dozen), in which each query describes an interesting region of the database. The user can pick one and submit it for further exploration. In order to support interaction, the system should operate in quasi-real time, possibly at the cost of precision, and require as little input parameters as possible. We draft a framework to generate such data maps, and introduce several short-to long-terms research problems.