Cost-sensitive ensemble methods for bankruptcy prediction in a highly imbalanced data distribution: a real case from the Spanish market

IF 2 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Progress in Artificial Intelligence Pub Date : 2020-10-24 DOI:10.1007/s13748-020-00219-x

Nazeeh Ghatasheh, Hossam Faris, Ruba Abukhurma, P. Castillo, Nailah Al-Madi, Antonio M. Mora, Ala’ M. Al-Zoubi, Ahmad Hassanat

引用次数: 20

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高度不平衡数据分布中破产预测的成本敏感集成方法——来自西班牙市场的一个真实案例

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Progress in Artificial Intelligence COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

9.70

自引率

0.00%

发文量

期刊介绍： This journal publishes top-level research results in all aspects of artificial intelligence, with a particular emphasis on the following topics: data mining; soft computing and computational intelligence; knowledge, complexity, logic, planning, reasoning and search; agents and multiagent systems; artificial vision and robotics; and natural language and Web intelligence.