Results 21 to 30 of about 7,845 (315)

Rekomendasi Daerah Penyalur Tenaga Kesehatan Covid-19 Dengan Menggunakan Skyline Query

open access: yesFountain of Informatics Journal, 2021
AbstrakTingginya tenaga kesehatan yang terinfeksi dan meninggal memberikan dampak terhadap ketersedian jumlah tenaga kesehatan pada suatu daerah khusunya rumah sakit.
Vega Purwayoga, Budi Susanto
doaj   +1 more source

Skyline queries: An introduction [PDF]

open access: yes2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA), 2015
During the two past decades, skyline queries were used in several multi-criteria decision support applications. Given a dominance relationship in a dataset, a skyline query returns the objects that cannot be dominated by any other objects. Skyline queries were studied extensively in multidimensional spaces, in subspaces, in metric spaces, in dynamic ...
Eleftherios Tiakas   +2 more
openaire   +1 more source

Reconciling skyline and ranking queries [PDF]

open access: yesProceedings of the VLDB Endowment, 2017
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 specific scoring function to rank tuples, skyline queries return the set of non-dominated tuples and are independent of attribute scales and scoring functions.
Paolo Ciaccia, Davide Martinenghi
openaire   +3 more sources

$\rho$ -Dominant Skyline Computation on Data Stream

open access: yesIEEE Access, 2018
Skyline query is widely used in multi-standard decision making process. As the extension to skyline query, p-dominant skyline query controls the base of the result set by adjusting data proportion, which is suitable for the application on fast deciding ...
Zhiqiong Wang   +4 more
doaj   +1 more source

Hierarchical Clustering Approach for Selecting Representative Skylines

open access: yesInformation, 2019
Recently, the skyline query has attracted interest in a wide range of applications from recommendation systems to computer networks. The skyline query is useful to obtain the dominant data points from the given dataset.
Lkhagvadorj Battulga, Aziz Nasridinov
doaj   +1 more source

HI-Sky: Hash Index-Based Skyline Query Processing

open access: yesApplied Sciences, 2020
The skyline query has recently attracted a considerable amount of research interest in several fields. The query conducts computations using the domination test, where “domination” means that a data point does not have a worse value than ...
Jong-Hyeok Choi   +2 more
doaj   +1 more source

Research on Location-based Skyline Queries Processing in Road Network [PDF]

open access: yesJisuanji gongcheng, 2022
Location-based skyline queries can quickly return the expected information from massive data according to the user's needs and the user's location.However, the existing road network technologies require enormous calculations of road network distance and ...
BAI Mei, CHANG Shihan, WANG Xite
doaj   +1 more source

A Framework for Privacy-Preserving Multi-Party Skyline Query Based on Homomorphic Encryption

open access: yesIEEE Access, 2019
Nowadays, the management and analyses of `big data' are becoming indispensable for numerous organizations all over the world. In many cases, multiple organizations want to perform data analyses on their combined databases.
Mahboob Qaosar   +6 more
doaj   +1 more source

Continuous skyline queries on multicore architectures [PDF]

open access: bronzeConcurrency and Computation: Practice and Experience, 2016
SummaryThe emergence of real‐time decision‐making applications in domains like high‐frequency trading, emergency management, and service level analysis in communication networks has led to the definition of new classes of queries.Skyline queriesare a notable example.
Tiziano De Matteis   +2 more
openalex   +2 more sources

A Skyline and ranking query odyssey: a journey from skyline and ranking queries up to f-skyline queries

open access: yesCoRR, 2022
Skyline and ranking queries are two of the most used tools to manage large data sets. The former is based on non-dominance, while the latter on a scoring function. Despite their effectiveness, they have some drawbacks like the result size or the need for a utility function that must be taken into account.
openaire   +2 more sources

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