Approximate query processing has emerged as a costeffective approach for dealing with the huge data volumes and stringent response-time requirements of today's decision-suppo...
Kaushik Chakrabarti, Minos N. Garofalakis, Rajeev ...
We extend the OLAP data model to represent data ambiguity, specifically imprecision and uncertainty, and introduce an allocation-based approach to the semantics of aggregation qu...
Douglas Burdick, Prasad Deshpande, T. S. Jayram, R...
As relational databases proliferate and become increasingly complex, both in their internal structure and in their interactions with other databases and applications, there is a g...
In information extraction, uncertainty is ubiquitous. For this reason, it is useful to provide users querying extracted data with explanations for the answers they receive. Provid...
Mapping to one-dimensional values and then using a onedimensional indexing method has been proposed as a way of indexing multi-dimensional data. Most previous related work uses th...