Rainbow ranking: an adaptable, multidimensional ranking method for publication sets

Stoupas, Georgios; Sidiropoulos, Antonis; Gogoglou, Antonia; Katsaros, Dimitrios; Manolopoulos, Yannis

doi:10.1007/s11192-018-2731-9

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Cited by 9 publications

(1 citation statement)

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“…Skyline operator is concerned with retrieving objects, called skyline points, from a set of objects such that the retrieved objects are not dominated by any other object in the set. The skyline operator is implemented in domains such as recommendation [25,26], scientometrics [27,28].…”

Section: Introductionmentioning

confidence: 99%

Landslide Susceptibility Assessment using Skyline Operator and Majority Voting

Mutlu¹,

Göz²,

Koksal³

et al. 2019

Sakarya University Journal of Science

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Landslide susceptibility assessment is the problem of determining the likelihood of a landslide to occur in a particular area based on the geological and morphological properties of the area. In this study, we propose a method wherein skyline operator is used to model landslides and majority voting is used to assess landslide susceptibility. Experiments conducted on a real life data set showed that the proposed method achieves 83.07% classification accuracy and is superior over most commonly used techniques for landslide susceptibility assessment such as logistic regression, support vector machines and artificial neural network.

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