Combination of Text Classification Algorithms by Genetic Programming
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- Niimi Ayahiko
- Future University-Hakodate, School of Systems Information Science, Department of Media Architecture
Bibliographic Information
- Other Title
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- 遺伝的プログラミングによるテキスト分類アルゴリズムの組み合わせ
Abstract
The analysis is done by expert who analyzes data while combining various algorithms with the trial and error on text mining. In this paper, two or more text classification algorithms are combined by using the genetic programming, and it proposes the system that classifies the text. The tuning of the parameter of the algorithm at the same time constructing the best use of the feature of each algorithm by learning the combination by the genetic programming becomes possible. We discuss combined text mining with genetic programming for mail classification task.
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 21 (0), 34-34, 2005
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390282680644902016
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- NII Article ID
- 130005035047
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed