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Clustering ranked preference data using sociodemographic covariates

Gormley, Isobel Claire; Murphy, Thomas Brendan - 2010

Ranked preference data arise when a set of judges rank, in order of their preference, a set of objects. Such data arise in preferential voting systems and market research surveys. Covariate data associated with the judges are also often recorded. Such covariate data should be used in conjunction...

Persistent link: https://www.econbiz.de/10009475695

Thai stock news classification based on price changes and sentiments

Ponrudee Netisopakul; Woranun Saewong - In: International journal of electronic finance : IJEF 11 (2022) 1, pp. 49-66

Persistent link: https://www.econbiz.de/10012939852

Efficiency of European universities : a comparison of peers

Herberholz, Lars; Wigger, Berthold U. - In: Research policy : policy, management and economic … 50 (2021) 9, pp. 1-23

Persistent link: https://www.econbiz.de/10012886294

Analysis of the pre-university system in Romania using the clustering technique

Grigorescu, Ioana Gabriela - In: Romanian economic and business review 16 (2021) 3, pp. 18-27

Persistent link: https://www.econbiz.de/10013530939

Time series forecasting based on a multidimensional Taylor network model with clustering of dynamic characteristics

Yan, Hong-Sen; Zheng, Xiao-Yi; Zhou, Bo; Zhang, Jiao-Jun - In: Journal of the Operational Research Society 73 (2022) 12, pp. 2660-2669

Persistent link: https://www.econbiz.de/10013533308

Clustering and meta-envelopment in data envelopment analysis

Tsionas, Efthymios G. - In: European journal of operational research : EJOR 304 (2023) 2, pp. 763-778

Persistent link: https://www.econbiz.de/10013534564

The knowledge complexity of the European metropolitan areas : selecting and clustering their hidden features

Bottai, Carlo; Iori, Martina - 2022

Cities are key places of economic activity, as they produce an enormous amount of wealth compared to the land they cover. Their study is, therefore, of primary importance in understanding the success of nations. Given the many interactions among people that happen within them, cities are well...

Persistent link: https://www.econbiz.de/10013489749

Parsimonious Wasserstein text-mining

Gadat, Sébastien; Villeneuve, Stéphane - 2023

Persistent link: https://www.econbiz.de/10014364159

Credit scoring for peer-to-peer lending

Aheleghbey, Daniel Felix; Giudici, Paolo - In: Risks : open access journal 11 (2023) 7, pp. 1-8

This paper shows how to improve the measurement of credit scoring by means of factor clustering. The improved …

Persistent link: https://www.econbiz.de/10014340263

Social Network Large-Scale Decision-Making : Developing Decision Support Methods at Scale and Social Networks

Du, Zhijiao; Yu, Sumin - 2023

-- Trust Cop-Kmeans Clustering Method -- Compatibility Distance Oriented Off-center Clustering Method -- Minimum-Cost Consensus …-heterogeneous information fusion, clustering analysis with multiple measurement attributes, and consensus building considering trust loss. To … based on trust and behavior analysis. Then, two clustering algorithms are put forward, including trust Cop …

Persistent link: https://www.econbiz.de/10014432453