In this paper we present a new conceptual model of trajectories, which accounts for
semantic and indoor space information and supports the design and implementation of …

In the current data-driven era, large volumes of data of different dimensions are generated
and collected at a rapid rate. Examples of these big data include transportation data (eg …

Multidimensional databases have been designed to provide decision makers with the
necessary tools to help them understand their data. This framework is different from …

Extracting frequent patterns from databases has always been an imperative task for the data
mining community. Literature has endowed plentiful endeavors to this research area with …

On-line analytical processing (OLAP) provides tools to explore and navigate into data cubes
in order to extract interesting information. Nevertheless, OLAP is not capable of explaining …

We plan to recommend some initial suitable single-itemed sequences like a flight itinerary
based on a preference pattern in the form of personalized sequential pattern to each cold …

The northern fringe of sub-Saharan Africa is a region that is considered to be particularly
vulnerable to climate variability and change, and it is a location in which food security …

In the current era, big data can be generated and collected anywhere. These include
different types of data, which can be mined by data mining. Many interesting important data …

Mining data warehouses is still an open problem as few approaches really take the
specificities of this framework into account (eg multidimensionality, hierarchies, historized …

Traditional sequential patterns do not take into account contextual information associated
with sequential data. For instance, when studying purchases of customers in a shop, a …