Processing-In-Memory (PIM) is an increasingly popular architecture aimed at addressing
the'memory wall'crisis by prioritizing the integration of processors within DRAM. It promotes …

The skyline is an important query operator for multi-criteria decision making. It reduces a
dataset to only those points that offer optimal trade-offs of dimensions. In general, it is very …

The skyline operator returns records in a dataset that provide optimal trade-offs of multiple
dimensions. It is an expensive operator whose query performance can greatly benefit from …

Skyline queries are a well-studied problem for multidimensional data, wherein points are
returned to the user iff no other point is preferable across all attributes. This leaves only the …

To obtain a different perspective, a user often would query information in a range of search
rather than a fixed search. However, the issue arises when attempting to compute skyline on …

Skyline queries have recently attracted considerable attention for their ability to return data
points from a given dataset that are not dominated by any other points. This study extends …

Constrained skyline queries retrieve all points that optimize some user's preferences subject
to orthogonal range constraints, but at significant computational cost. This paper is the first to …

Every entity in the real world can be described uniquely by it's attributes. It is possible to rank
similar entities based on these attributes, ie a professor can be ranked by his/her number of …

Identifying interesting objects from a large data collection is a fundamental problem for multi-
criteria decision making applications. In Relational Database Management Systems …

The continuous Skyline query has recently become the subject of the several researches
due to its wide spectrum of applications such as multi-criteria decision making, graph …