Many databases contain temporal, or time-referenced, data and use intervals to capture the
temporal aspect. While SQL-based database management systems (DBMSs) are capable of …

We develop a family of efficient plane-swee** interval join algorithms for evaluating a
wide range of interval predicates such as Allen's relationships and parameterized …

Driven by the recent adoption of temporal expressions into SQL: 2011, extensions of
temporal support in conventional database management systems (aba DBMSs) have re …

Time is implicit in most of the database management applications. To handle time varying
data for every application using ad hoc methods is a cumbersome task. Temporal database …

We study the problem of enumeration of all k-sized subsets of temporal events that mutually
overlap at some point in a query time window. This problem arises in many application …

Temporal graphs change with time and have a lifespan associated with each vertex and
edge. These graphs are suitable to process time-respecting algorithms where the traversed …

The adoption of temporal expressions into SQL: 2011 has continuously driven the
extensions of temporal support in relational database systems (aba RDBMSs). In this paper …

Most of today's graph analytics systems model static graphs and do not support business
use cases that require the ability to:(i) query the dynamic graph data for a time-evolving …

Abstract Next-Generation Sequencing (NGS), also known as high-throughput sequencing,
has opened the possibility of a comprehensive characterization of the genomic and …

Temporal index provides an important way to accelerate query performance in temporal big
data. However, the current temporal index cannot support the variety of queries very well …