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首页> 外文期刊>International Journal of Networking and Virtual Organisations >Fuzzy data mining: a literature survey and classification framework
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Fuzzy data mining: a literature survey and classification framework

机译:模糊数据挖掘:文献调查和分类框架

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摘要

Despite the tremendous application of data mining in business areas and simultaneous development in the area of fuzzy systems, both the technologies have never been able to prove worth in combination. The development in the application of fuzzy data mining is rapidly increasing and exhaustive literature survey in the field of fuzzy data mining has not been done in the past which prompted us to find and classify the existing literature in fuzzy data mining which will pave the way for further quality research in fuzzy data mining. The authors classified the available literature on three broad categories on the basis of data mining techniques which are applicable. The further classification is done on the basis on application areas where fuzzy data mining has found its worth.
机译:尽管数据挖掘在商业领域中得到了巨大的应用,并且在模糊系统领域中同时进行了开发,但是这两种技术都无法证明其结合价值。模糊数据挖掘应用的发展迅速增长,过去在模糊数据挖掘领域还没有进行详尽的文献调查,这促使我们在模糊数据挖掘中寻找和分类现有文献,这为模糊数据挖掘铺平了道路。模糊数据挖掘的进一步质量研究。作者根据适用的数据挖掘技术将现有文献分为三大类。根据模糊数据挖掘已发现其价值的应用领域进行进一步分类。

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