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引用次数: 1
摘要
Index Miner是一个基于java的数据挖掘工具,它包含了分类、聚类、关联规则、可视化、属性转换和特征选择等方法。本文简要介绍了该工具,并讨论了在该工具中实现的方法,以展示如何为数据创建和执行学习过程,以挖掘隐藏在数据中的模式。
Index Miner is a Java-based data mining tool which contains the methodologies of classification, clustering, association rules, visualization, attribute transformation and feature selection. The paper briefly introduces this tool and discusses the methods that are implemented in this tool to show how to create and perform a learning process for data in order to mine the patterns that are hidden in the data.