Abstract
We proposed a technique for using multiagent technology in data mining intended for two or more text databases. In this paper, we discuss data mining method based on text (text mining), but our proposed method is not a method of specializing in text mining. First, we proposed data mining technique using multiagent technology. The proposed technique is applied to document databases, and discuss its results. Next, we extend the proposed technique with Stem algorithm, English morphological analysis, changed development language, adding the experiment data, and adding data mining algorithm.
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Niimi, A., Konishi, O.: Data Mining for Distributed Databases with Multiagents. In: Palade, V., Howlett, R.J., Jain, L. (eds.) KES 2003. LNCS, vol. 2774, pp. 1412–1418. Springer, Heidelberg (2003)
Niimi, A.: Research Trend Investigation from Bibliographic Database about Chaos using Data Mining Technique, Technical report of IEICE, AI20002-57, 59–64 (2003) (in Japanese)
Ichimura, Y., Hasegawa, T., Watanabe, I., Sato, M.: Text Mining: Case Studies. Journal of Japanese Society for Artificial Intelligence 16(2), 192–200 (2001) (in Japanese)
Nasukawa, T., Kawano, H., Arimura, H.: Base Technology for Text Mining. Journal of Japanese Society for Artificial Intelligence 16(2), 201–211 (2001) (in Japanese)
Nagao, M., Mori, S.: A New Method of N-gram Statistics for Large Number of n and Automatic Extraction of Words and Phrases from Large Text Data of Japanese. In: Proceedings of the 15th International Conference on Computational Linguistics, pp. 611–615 (1994)
Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules. In: The 20th International Conference on Very Large Databases, Santiago, Chile, September 1994, 32 pages (1994)
Nagata, M., Taira, H.: Text Classification - Showcase of Learning Theories -. IPSJ Magazine 42(1), 32–37 (2001) (in Japanese)
Matsumoto, Y., Kitauchi, A., Yamashita, T., Hirano, Y., Matsuda, H., Takaoka, K., Asahara, M.: Morphological Analysis System ChaSen version 2.2.1 Manual (2000), [Online] Available: http://chasen.aist-nara.ac.jp/chasen/bib.html.en
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Niimi, A., Konishi, O. (2004). Extension of Multiagent Data Mining for Distributed Databases. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30134-9_104
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DOI: https://doi.org/10.1007/978-3-540-30134-9_104
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