At the heart of OLAP or multidimensional data analysis applications is the ability to
simultaneously aggregate across many sets of dimensions. Computing multidimensional …

Computing multiple related group-bys and aggregates is one of the core operations of On-
Line Analytical Processing (OLAP) applications. Recently, Gray et al.[GBLP95] proposed the …

Levonadifloxacin and its prodrug alalevonadifloxacin are novel broad-spectrum anti-MRSA
agents belonging to the benzoquinolizine subclass of quinolone, formulated for intravenous …

To fulfill the requirement of fast interactive multidimensional data analysis, database systems
precompute aggregate views on some subsets of dimensions and their corresponding …

Caching has been proposed (and implemented) by OLAP systems in order to reduce
response times for multidimensional queries. Previous work on such caching has …

To speed up multidimensional data analysis, database systems frequently precompute
aggregates on some subsets of dimensions and their corresponding hierarchies. This …

Quantifying the similarity between two trajectories is a fundamental operation in analysis of
spatio-temporal databases. While a number of distance functions exist, the recent shift in the …

Limited treatment options exist to combat infections caused by multidrug-resistant (MDR)
Gram-negative bacteria possessing broad-spectrum β-lactamases. The design of novel β …

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 …

Background Targeted screening for latent TB infection (LTBI) in vulnerable populations is a
recommended TB control strategy. Pregnant women are at high risk for developing TB and …