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首页> 外文期刊>Pomiary Automatyka Kontrola >Implementation of the attribute significance analysis with the use of soft reduction of attributes in the rough set theory on the basis of the SQL mechanisms
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Implementation of the attribute significance analysis with the use of soft reduction of attributes in the rough set theory on the basis of the SQL mechanisms

机译：在SQL机制的基础上，通过在粗糙集理论中使用属性的软化约简来实现属性重要性分析

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摘要

This article presents a way to use databases supporting the SQL and PL/SQL in the implementation of a method of attribute significance analysis with the use of soft reduction of attributes in the rough set theory. A number of SQL queries are presented, which facilitate the implementation. The original mechanisms presented previously [1] are supplemented with queries which facilitate the execution of attribute coding. The authors present a complete implementation of the method, from the coding of attributes to the determination of the significance of conditional attributes. Application of queries to the database eliminates the necessity to build data grouping and data mining mechanisms and calculation of repetitions of identical rules in the reduced decision rule space. Without the support of a database, the creation of universal data grouping and data mining mechanisms which could be used with any number of attributes is a challenging task.
机译：本文介绍了一种在粗糙集理论中使用属性的软化约简来实现属性重要性分析的方法时，使用支持SQL和PL / SQL的数据库的方法。提出了许多SQL查询，这些查询有助于实现。先前提出的原始机制[1]补充了有助于属性编码执行的查询。作者介绍了该方法的完整实现，从属性编码到确定条件属性的重要性。对数据库的查询应用消除了在缩减的决策规则空间中建立数据分组和数据挖掘机制以及计算相同规则的重复次数的必要性。在没有数据库支持的情况下，创建可以用于任何数量属性的通用数据分组和数据挖掘机制是一项艰巨的任务。

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