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

ZHANG Dezheng; SHI Yang; DENG Yi; YANG Bingru

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

Volume 25 Issue 4

Aug. 2021

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Article Navigation > Chinese Journal of Engineering > 2003 > 25(4): 377-381

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

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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

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

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

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

Received Date: 2002-11-11
Available Online: 2021-08-17

Abstract

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