Online analytic processing in the presence of uncertainties

摘要

Disclosed are embodiments of a method for online analytic processing of queries and, and more particularly, of a method that extends the on-line analytic processing (OLAP) data model to represent data ambiguity, such as imprecision and uncertainty, in data values. Specifically, the embodiments of the method incorporate a statistical model that allows for uncertain measures to be modeled as conditional probabilities. Additionally, an embodiment of the method further identifies natural query properties (e.g., consistency and faithfulness) and uses them to shed light on alternative query semantics. Lastly, an embodiment of the method further introduces an allocation-based approach to the semantics of aggregation queries over such data.