Marrying top-k with skyline queries: Relaxing the preference input while producing output of controllable size
The two most common paradigms to identify records of preference in a multi-objective
setting rely either on dominance (eg, the skyline operator) or on a utility function defined …
setting rely either on dominance (eg, the skyline operator) or on a utility function defined …
Efficient and secure skyline queries over vertical data federation
Skyline is a primitive operation in multi-objective decision applications and there is a
growing demand to support such operations over a data federation, where the entire dataset …
growing demand to support such operations over a data federation, where the entire dataset …
Flexible skylines: Dominance for arbitrary sets of monotone functions
P Ciaccia, D Martinenghi - ACM Transactions on Database Systems …, 2020 - dl.acm.org
Skyline and ranking queries are two popular, alternative ways of discovering interesting data
in large datasets. Skyline queries are simple to specify, as they just return the set of all non …
in large datasets. Skyline queries are simple to specify, as they just return the set of all non …
Toward privacy-preserving aggregate reverse skyline query with strong security
It has been witnessed that Aggregate Reverse Skyline (ARS) query has recently received a
wide range of practical applications due to its marvelous property of identifying the influence …
wide range of practical applications due to its marvelous property of identifying the influence …
Length-dependent conductance and thermopower in single-molecule junctions of dithiolated oligophenylene derivatives: A density functional study
We study theoretically the length dependence of both conductance and thermopower in
metal-molecule-metal junctions made up of dithiolated oligophenylenes contacted to gold …
metal-molecule-metal junctions made up of dithiolated oligophenylenes contacted to gold …
Reconciling skyline and ranking queries
P Ciaccia, D Martinenghi - Proceedings of the VLDB Endowment, 2017 - dl.acm.org
Traditionally, skyline and ranking queries have been treated separately as alternative ways
of discovering interesting data in potentially large datasets. While ranking queries adopt a …
of discovering interesting data in potentially large datasets. While ranking queries adopt a …
k-regret minimizing set: Efficient algorithms and hardness
We study the k-regret minimizing query (k-RMS), which is a useful operator for supporting
multi-criteria decision-making. Given two integers k and r, a k-RMS returns r tuples from the …
multi-criteria decision-making. Given two integers k and r, a k-RMS returns r tuples from the …
Gazing at the skyline for star scientists
Admittedly, despite the plethora of scientometric indices proposed to rank scientists, none of
them can fully capture the performance and impact of a scientist, since each index quantifies …
them can fully capture the performance and impact of a scientist, since each index quantifies …
[PDF][PDF] Weighted Sum Model for Multi-Objective Query Optimization for Mobile-Cloud Database Environments.
F Helff, L Gruenwald, L d'Orazio - EDBT/ICDT Workshops, 2016 - Citeseer
In a mobile-cloud database environment, different users on multiple mobile devices request
services executed on a cloud. During those requests, queries are executed to obtain data …
services executed on a cloud. During those requests, queries are executed to obtain data …
iMCRec: A multi-criteria framework for personalized point-of-interest recommendations
User preferences on geographical positions and categories of points-of-interest (POIs) have
been exploited for POI recommendations. However, in reality, the users' visiting behaviors …
been exploited for POI recommendations. However, in reality, the users' visiting behaviors …