基于廣義歸納邏輯因果模型的知識發現與算法實現

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基于廣義歸納邏輯因果模型的知識發現與算法實現

張德政, 石陽, 鄧一, 楊炳儒

文章導航 > 工程科學學報 > 2003 > 25(4): 377-381

張德政, 石陽, 鄧一, 楊炳儒. 基于廣義歸納邏輯因果模型的知識發現與算法實現[J]. 工程科學學報, 2003, 25(4): 377-381. doi: 10.13374/j.issn1001-053x.2003.04.022

引用本文:

張德政, 石陽, 鄧一, 楊炳儒. 基于廣義歸納邏輯因果模型的知識發現與算法實現[J]. 工程科學學報, 2003, 25(4): 377-381. doi: 10.13374/j.issn1001-053x.2003.04.022

ZHANG Dezheng, SHI Yang, DENG Yi, YANG Bingru. Algorithm and Realization of KDD Based on the Generalized Inductive Logical Causal Model[J]. Chinese Journal of Engineering, 2003, 25(4): 377-381. doi: 10.13374/j.issn1001-053x.2003.04.022

Citation:

ZHANG Dezheng, SHI Yang, DENG Yi, YANG Bingru. Algorithm and Realization of KDD Based on the Generalized Inductive Logical Causal Model[J]. Chinese Journal of Engineering, 2003, 25(4): 377-381. doi: 10.13374/j.issn1001-053x.2003.04.022

張德政, 石陽, 鄧一, 楊炳儒. 基于廣義歸納邏輯因果模型的知識發現與算法實現[J]. 工程科學學報, 2003, 25(4): 377-381. doi: 10.13374/j.issn1001-053x.2003.04.022

引用本文:

張德政, 石陽, 鄧一, 楊炳儒. 基于廣義歸納邏輯因果模型的知識發現與算法實現[J]. 工程科學學報, 2003, 25(4): 377-381. doi: 10.13374/j.issn1001-053x.2003.04.022

ZHANG Dezheng, SHI Yang, DENG Yi, YANG Bingru. Algorithm and Realization of KDD Based on the Generalized Inductive Logical Causal Model[J]. Chinese Journal of Engineering, 2003, 25(4): 377-381. doi: 10.13374/j.issn1001-053x.2003.04.022

Citation:

ZHANG Dezheng, SHI Yang, DENG Yi, YANG Bingru. Algorithm and Realization of KDD Based on the Generalized Inductive Logical Causal Model[J]. Chinese Journal of Engineering, 2003, 25(4): 377-381. doi: 10.13374/j.issn1001-053x.2003.04.022

基于廣義歸納邏輯因果模型的知識發現與算法實現

doi: 10.13374/j.issn1001-053x.2003.04.022

1. 北京科技大學信息工程學院, 北京 100083;
2. 鞍山科技大學計算機系, 鞍山 114002

基金項目:

國家自然科學基金重點項目(No.69835001)

作者簡介:
張德政男,39歲,副教授,博士

中圖分類號: TP18
計量
- 文章訪問數: 150
- HTML全文瀏覽量: 26
- PDF下載量: 7
- 被引次數: 0
出版歷程
- 收稿日期: 2002-11-11
- 網絡出版日期: 2021-08-17

Algorithm and Realization of KDD Based on the Generalized Inductive Logical Causal Model

1. Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China;
2. Anshan Science and Technology University, Anshan 114002, China

摘要: 以語言場、廣義細胞自動機和廣義歸納邏輯因果模型為理論依據,分析了廣義因果聯系類知識的發現機理,給出了因果聯系類知識發現的實現算法.該算法為解決具有隨機不確定和模糊不確定性特征的因果聯系類知識的發現提供了行之有效的方法.通過算法的運行實例,驗證和說明了算法的正確性和有效性.
- 廣義邏輯歸納因果模型 /
- 廣義因果聯系 /
- 數據挖掘 /
- 知識發現
Abstract: Based on the fuzzy language field, generalized cell automation and generalized inductive logical causal model, the mechanism of causal relation knowledge discovery were studied, and an algorithm of KDD with causal rules was proposed. With this algorithm, the causal relation knowledge discovery with uncertainty of random and fuzzy can be done effectively. An example illustrate the correctness and effectiveness of the algorithm.
- generalized inductive logical causal model /
- generalized causal relation /
- data mining /
- knowledge discovery

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文章訪問數: 150
HTML全文瀏覽量: 26
PDF下載量: 7
被引次數: 0

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