Attribute value reordering for efficient hybrid OLAP☆

Attribute Value Reordering for Efficient Hybrid

The normalization of a data cube is the process of choosing an ordering for the attribute values, and the chosen ordering will affect the physical storage of the cube’s data. For large multidimensional arrays, proper normalization can lead to more efficient storage in hybrid OLAP contexts that store dense and sparse chunks differently. We show that it is NP-hard to compute an optimal normalizat...

An Efficient OLAP Query Processing Technique Using Measure Attribute Indexes

We propose an index structure, called measure attribute (MA) index, and a query processing technique to improve OLAP query performance. OLAP queries are extremely complicated due to representing the intricate business logic of the company on a huge quantity of data. This is why the efficient query evaluation becomes a critical issue in OLAP systems. Proposed query processing technique supports ...

Attribute Metadata for Relational OLAP and Data Mining

Semantics for Attribute-Value Theories

Human Computation for Attribute and Attribute Value Acquisition

We introduce a human computation approach for acquiring object attributes and attribute values from the crowd, including a new game called Polarity.