An implementation of logical analysis of data
An implementation of logical analysis of data
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DOI：
10.1109/69.842268
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发表时间：
2000-03-01
影响因子：
8.9
通讯作者：
Muchnik, I
中科院分区：
文献类型：
--
作者：
Boros, E;Hammer, PL;Muchnik, I
本文描述了一种新的、基于逻辑的观测分析方法。数据逻辑分析（LAD）的关键特征是发现解释所有观察结果所需的最小特征集，以及检测数据中能够区分描述“积极”结果事件和“消极”结果事件的观察结果的隐藏模式。这些模式的组合用于开发一般分类程序。本文描述了该方法的实现以及数值实验的结果，证明了LAD的分类性能与其他程序的报告结果相比较。在最后一部分中，我们描述了三个关于LAD在石油勘探、心理测量测试和中国转型经济发展分析中的应用的试点研究。这些试点研究不仅展示了LAD的分类能力，还展示了它的灵活性和为各种个案相关问题提供解决方案的能力。
The paper describes a new, logic-based methodology for analyzing observations. The key features of the Logical Analysis of Data (LAD) are the discovery of minimal sets of features necessary for explaining all observations and the detection of hidden patterns in the data capable of distinguishing observations describing "positive" outcome events from "negative" outcome events. Combinations of such patterns are used for developing general classification procedures. An implementation of this methodology is described in the paper along with the results of numerical experiments demonstrating the classification performance of LAD in comparison with the reported results of other procedures. In the final section, we describe three pilot studies on applications of LAD to oil exploration, psychometric testing, and the analysis of developments in the Chinese transitional economy. These pilot studies demonstrate not only the classification power of LAD, but also its flexibility and capability to provide solutions to various case-dependent problems.