Feature Transformation by Function Decomposition
Feature Transformation by Function Decomposition
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DOI：
10.1109/5254.671090
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发表时间：
1998-03
期刊：
影响因子：
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通讯作者：
B. Zupan;M. Bohanec;J. Demšar;I. Bratko
中科院分区：
文献类型：
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作者：
B. Zupan;M. Bohanec;J. Demšar;I. Bratko
所描述的功能分解可以识别现有特征的子集并发现将这些子集映射到新特征的非给定函数，还可以将现有特征和新特征组织成层次结构。本文以住房贷款分配申请为例，对层次归纳工具（HINT）系统进行了实证分析。开关电路的设计方法往往隐式地处理特征变换。这些方法构造一个电路来实现给定的或部分给定的表格布尔函数。作者的函数分解方法可以发现并构建一个新特征的层次结构，可以将其添加到原始数据集或转换为不太复杂的数据集的层次结构。该方法允许分解处理标称特征（即不一定是二进制）函数。
The function decomposition described can identify subsets of existing features and discover nongiven functions that map these subsets to a new feature, also, it can organize the existing and new features into a hierarchy. The authors demonstrate their Hierarchy Induction Tool (HINT) system on a housing loan-allocation application. Methods for switching circuit design often implicitly deal with feature transformation. Such methods construct a circuit to implement a given or partially given tabulated Boolean function. The authors' function-decomposition method can discover and construct a hierarchy of new features that one can add to the original dataset or transform into a hierarchy of less complex datasets. The method allows the decomposition to deal with nominal-feature (that is, not necessarily binary) functions.