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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© 2004 Springer-Verlag Berlin Heidelberg
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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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