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Home > Projects > Data Exploration
Data Exploration

This project pursues research on data exploration that identifies techniques for flexible ways to query, browse and aggregate data. One of our goals is to support approximate matches and ranked search in the database context. We also like to enable data browsing and querying services for XML that can interoperate between text, structured, and semi-structured (e.g., mail messages) data. We also investigate efficient approximate query processing techniques for answering ad-hoc aggregate queries (e.g. decision support or OLAP queries).

Goal

This project pursues research on data exploration that identifies techniques for flexible ways to query, browse and aggregate data. One of our goals is to support approximate matches and ranked search in the database context. We also like to enable data browsing and querying services for XML that can interoperate between text, structured, and semi-structured (e.g., mail messages) data. We also investigate efficient approximate query processing techniques for answering ad-hoc aggregate queries (e.g. decision support or OLAP queries).

If you have questions about this project, please contact the Data Exploration research team (dmx@microsoft.com).

Publications