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Agent-Based Data Mining Approach for the Prediction of UK and Irish Companies Performance

机译:基于代理的数据挖掘方法,用于预测英国和爱尔兰公司的绩效

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摘要

The discovery of previously unknown and valuable knowledge is a key aspect of the exploitation of the enormous amount of data that stored in data sources. It has a wide range of applications, such as finance data analysis. A number of approaches for knowledge discovery and data mining have been developed for different scenarios. This paper presents our approach of integrating agent technology with conventional data mining methods to construct a system for financial data mining.
机译:发现先前未知和有价值的知识是利用存储在数据源中的大量数据的关键方面。它具有广泛的应用,例如财务数据分析。针对不同情况开发了许多知识发现和数据挖掘方法。本文介绍了我们将代理技术与常规数据挖掘方法相集成的方法,以构建金融数据挖掘系统。

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