Approximate aggregation has been a popular approach for interactive data analysis and
decision making, especially on large-scale datasets. While there is clearly a need to apply …

Neither the memory capacity, memory access speeds, nor disk bandwidths are increasing at
the same rate as the computing power in current and upcoming parallel machines. This has …

The COSMOS symbolic fault simulator generates test sets for combinational and sequential
MOS circuits represented at the switch level. All aspects of switch-level networks including …

Contrast set mining is a broadly applicable exploratory technique, which identifies
interesting differences across contrast groups. The existing algorithms primarily target …

Spatial data arises in a variety of contexts, including Geographical Information Systems
(GIS), scientific simulations, and medical applications. With growing size of spatial data …

Among all 'big data'research issues, the veracity challenge, which refers to the precision and
accuracy of the data, has not received as much attention. Traditionally, it has been well …

Scientific simulations are now being performed at finer temporal and spatial scales, leading
to an explosion of the output data (mostly in array-based formats), and challenges in …

Traditional indexing techniques commonly employed in da\-ta\-ba\-se systems perform
poorly on multidimensional array scientific data. Bitmap indices are widely used in …

Multidimensional data, either in the form of dense arrays, or sparse relational data are a
common data structure for effective storage, access, management, querying, disseminating …

Bitmap indices are widely used in commercial databases for processing complex queries,
due to their efficient use of bit-wise operations. Bitmap indices apply natively to relational …