使用逻辑综合方法的数据分析和挖掘

Dariusz Wąsicki, T. Luba
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引用次数: 0

摘要

本文讨论了逻辑综合方法在数据挖掘任务中应用的可能性。特别考虑了属性约简方法和决策规则的归纳方法。通过应用专门的逻辑综合方法,可以有效地改善这些问题,并成功地用于解决数据挖掘任务。为了证明这种程序的可取性,讨论了患者的诊断以及消除麻烦检查的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Analysis and Mining Using Logical Synthesis Methods
The article discusses the possibilities of the application of logic synthesis methods in data mining tasks. In particular, the method of reducing attributes and the method of inducing decision rules is considered. It is shown that by applying specialized logic synthesis methods, these issues can be effectively improved and successfully used for solving data mining tasks. In justification of the advisability of such proceedings, the patient's diagnosis with the possibility of eliminating troublesome tests is discussed.
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