Data warehousing systems enable enterprise managers to acquire and integrate information
from heterogeneous sources and to query very large databases efficiently. Building a data …

Conceptual models or semantic data models were developed to capture the meaning of an
application domain as perceived by someone. Moreover, concepts employed in semantic …

Data warehousing systems enable enterprise managers to acquire and integrate information
from heterogeneous sources and to query very large databases efficiently. Building a data …

A data warehouse is an integrated and timevarying collection of data derived from
operational data and primarily used in strategic decision making by means of online …

Recently, many applications have required the ability to perform dynamic graph analytical
processing (GAP) tasks on the datasets generated by relational OLTP in real time. To meet …

Foreign keys form one of the most fundamental constraints for relational databases. Since
they are not always defined in existing databases, algorithms need to be devised to discover …

The maintenance of an existing database depends on the depth of understanding of its
characteristics. Such an understanding is easily lost when the developers disperse. The …

In an era of super computing, data is increasing exponentially requiring more proficiency
from the available technologies of data storage, data processing, and analysis. Such …

6,115,646 6,128,771 6,163,781 6,269.475 6,298,354 6,339,838 6,360,223 6,374,252
6,374.256 6,430,562 6.467, 079 6,502,098 6,542.937 6,591.272 6,625,651 6,633,878 …

Bioenergy is a crucial element of the future energy system with wide range of applications in
electricity, heat and transport. A major challenge for the analysis and optimisation of the …