Granular fuzzy Web intelligence techniques for profitable data mining

Yanqing Zhang, M. Shteynberg, S. Prasad, Rajshekhar Sunderraman
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引用次数: 9

Abstract

Data mining has a lot of e-commerce applications. The key problem is how to find useful hidden patterns for better business applications. For these problems, granular fuzzy Web intelligence techniques are used to implement the granular fuzzy Web data mining system for available historical data of the credit company customers. Fuzzy computing and granular computing are used to design the Web fuzzy-interval data mining system that can do fuzzy-interval data clustering under uncertainty.
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粒度模糊Web智能技术用于有利可图的数据挖掘
数据挖掘在电子商务中有着广泛的应用。关键问题是如何为更好的业务应用程序找到有用的隐藏模式。针对这些问题,采用颗粒模糊Web智能技术实现了信用公司客户可用历史数据的颗粒模糊Web数据挖掘系统。利用模糊计算和颗粒计算设计了Web模糊区间数据挖掘系统,实现了不确定情况下的模糊区间数据聚类。
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