Converting a Naieve Bayes Models with Multi-valued Domains into Sets of Rules

机译：将具有多值域的朴素贝叶斯模型转换为规则集

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Nowadays, several knowledge representation methods are being used in knowledge based systems, machine learning, and data mining. Among them are decision rules and Bayesian networks. Both methods have specific advantages and disadvantages. A conversion method would allow to exploit advantages of both techniques. In this paper an algorithm that converts Naieve Bayes models with multi-valued attribute domains into sets of rules is proposed. Experimental results show that it is possible to generate rule-based classifiers, which have relatively high accuracy and are simpler than original models.

机译：如今，在基于知识的系统，机器学习和数据挖掘中使用了几种知识表示方法。其中包括决策规则和贝叶斯网络。两种方法都有特定的优点和缺点。转换方法将允许利用两种技术的优势。本文提出了一种将具有多值属性域的Naieve Bayes模型转换为规则集的算法。实验结果表明，可以生成基于规则的分类器，该分类器具有较高的准确性，并且比原始模型更简单。

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来源
《Database and Expert Systems Applications; Lecture Notes in Computer Science; 4080》|2006年|P.634-643|共10页
会议地点 Krakow(PL)
作者
Bartlomiej Sniezynski;
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作者单位

AGH University of Science and Technology, Department of Computer Science, Krakow, Poland;

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原文格式 PDF
正文语种 eng
中图分类 TP311.13;
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1. Discretization as the enabling technique for the Naieve Bayes and semi-Naieve Bayes-based classification [J] . MARCIN J. MIZIANTY, LUKASZ A. KURGAN, MAREK R. OGIELA The Knowledge Engineering Review . 2010,第4期

机译：离散化作为朴素贝叶斯和基于半朴素贝叶斯分类的支持技术
2. GENERATING POSITIVE-NEGATIVE RULES USING FUZZY FP-GROWTH & NAIEVE BAYES [J] . SHIPRA KHARE, VIVEK JAIN International Journal of Computer Science Engineering and Information Technology Research . 2015,第2期

机译：使用模糊FP增长和朴素贝叶斯生成正负规则
3. Multitude Classifier Using Rough Set Jelinek Mercer Naieve Bayes for Disease Diagnosis [J] . S. Prema, P. Umamaheswari Circuits and systems . 2016,第6期

机译：使用粗糙集Jelinek Mercer天真的贝叶斯进行疾病分类的多种分类器
4. Converting a Naieve Bayes Models with Multi-valued Domains into Sets of Rules [C] . Bartlomiej Sniezynski Database and Expert Systems Applications; Lecture Notes in Computer Science; 4080 . 2006

机译：将具有多值域的朴素贝叶斯模型转换为规则集
5. Modelling biodiversity using the genetic algorithm for rule-set prediction in the Sierra de Manantlan biosphere reserve (Mexico). [D] . Ferguson, James R. 2005

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6. Improving patient classification and biomarker assessment using Gaussian Mixture Models and Bayes’ rule [O] . Marina A. Guvakova 2019

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7. An invariance of domain result for multi-valued maximal monotone operators whose domains do not necessarily contain any open sets [O] . Athanassios G. Kartsatos 1997

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8. Extending Radiative Transfer Models by Use of Bayes' Rule. [R] . Whitney, C. 1976

机译：利用贝叶斯规则扩展辐射传递模型。

Converting a Naieve Bayes Models with Multi-valued Domains into Sets of Rules

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