New Data Mining approach for clustering Export Credit Agencies (ECAs) based on performance criteria: a bibliometric citation analysis for the period 2005 to 2020

New Data Mining approach for clustering Export Credit Agencies (ECAs) based on performance criteria: a bibliometric citation analysis for the period 2005 to 2020

Nowadays, ECAs have a crucial role in the export of production, creating job opportunities for countries and growth of economic indicators.This research aims first to estimate the performance of ECAs based on covering all countries of the world and ranking the countries based on the issue of export...

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Veröffentlicht in:Analele Universității din Craiova. Seria matematică, informatică informatică, 2021-06, Vol.48 (1), p.374-383
Hauptverfasser: Shahraeini, Seyed Arash, Tabrizi, Seyfollah, Spulbar, Cristi, Birau, Ramona, Yazdi, Amir Karbassi
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container_title Analele Universității din Craiova. Seria matematică, informatică
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creator Shahraeini, Seyed Arash
Tabrizi, Seyfollah
Spulbar, Cristi
Birau, Ramona
Yazdi, Amir Karbassi
description Nowadays, ECAs have a crucial role in the export of production, creating job opportunities for countries and growth of economic indicators.This research aims first to estimate the performance of ECAs based on covering all countries of the world and ranking the countries based on the issue of export credit according to their performance and clustering techniques. For evaluation performance of these ECAs, clustering techniques are used to put them in the categories according to their performance between 2005 to 2020 in the fourth quarter. The context of clustering shows the rank of each cluster, and then exporters can choose a better choice from them. Moreover, for reinsurance,other ECAs can find out which ECAs have high performance. The result indicates that ranking the ECAs and show the performance of each cluster.
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title New Data Mining approach for clustering Export Credit Agencies (ECAs) based on performance criteria: a bibliometric citation analysis for the period 2005 to 2020
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