An algorithm for knowledge extraction
Authors: 
Ying Yu, Lingyun Wang, Jianye LuAuthors Info & Claims
Pages 27 - 30
Abstract
An algorithm with an embedded genetic algorithm is presented in this paper, for attribute reduction and knowledge extraction. Due to the high dimension of text data, the classification precision is applied as the threshold of an evaluation index for the iterative process of the algorithm, and is also utilized as the fitness function of the embedded genetic algorithm. Further, the rules from the reduced attribute set generated by the algorithm are given. Finally, the validity and accuracy of the algorithm are verified on the data set.
References
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T. Matsumoto, W. Sunayama, Y. Hatanaka and K. Ogohara, "Data Analysis Support by Combining Data Mining and Text Mining," 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), Hamamatsu, 2017, pp. 313--318.
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D. Talia, "Making knowledge discovery services scalable on clouds for big data mining," 2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM), Fuzhou, 2015, pp. 1--4.
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N. Zhong, Y. Li and S. Wu, "Effective Pattern Discovery for Text Mining," in IEEE Transactions on Knowledge and Data Engineering, vol. 24, no. 1, pp. 30--44, Jan. 2012.
[4]
T. Matsumoto, W. Sunayama, Y. Hatanaka and K. Ogohara, "Data Analysis Support by Combining Data Mining and Text Mining," 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), Hamamatsu, 2017, pp. 313--318.
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ZIARKO W. Variable precision rough set model[J]. Journal of Computer and System Sciences, 1993, 46(1): 39--59.
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C. Lin, "An Adaptive Genetic Algorithm Based on Population Diversity Strategy," 2009 Third International Conference on Genetic and Evolutionary Computing, Guilin, 2009, pp. 93--96.
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Jianmin Jiang and D. Butler, "A genetic algorithm design for vector quantization," First International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, Sheffield, UK, 1995, pp. 331--336.
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https://archive.ics.uci.edu/ml/index.php
Index Terms
- An algorithm for knowledge extraction
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Published In
October 2020
527 pages
ISBN:9781450387729
DOI:10.1145/3419635
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Association for Computing Machinery
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Published: 16 October 2020
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- Short-paper
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CIPAE 2020
CIPAE 2020: 2020 International Conference on Computers, Information Processing and Advanced Education
October 16 - 18, 2020
ON, Ottawa, Canada
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CIPAE 2020 Paper Acceptance Rate 101 of 216 submissions, 47%;
Overall Acceptance Rate 101 of 216 submissions, 47%
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