Multi-structural databases

We introduce the Multi-Structural Database, a new data framework to support efficient analysis of large, complex data sets. An instance of the model consists of a set of data objects, together with a schema that specifies segmentations of the set of data objects according to multiple distinct criteria (e.g., into a taxonomy based on a hierarchical attribute). Within this model, we develop a rich set of analytical operations and design highly efficient algorithms for these operations. Our operations are formulated as optimization problems, and allow the user to analyze the underlying data in terms of the allowed segmentations.

• Type: Conference
• Year: 2005
• Where: PODS
• Authors: Ronald Fagin, Ramanathan V. Guha, Ravi Kumar, Jasmine Novak, D. Sivakumar, Andrew Tomkins
• Keywords: Analytical Operations, Complex Data Sets, Database, Multiple Distinct Criteria, PODS 2005