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- W2493551066 abstract "In the data mining field, people have no doubt that high level information (or knowledge) can be extracted from the database through the use of algorithms. However, a one-shot knowledge deduction is based on the assumption that the model developer knows the structure of knowledge to be deducted. This assumption may not be invalid in general. Hence, a general proposition for data mining is that, without human-computer interaction, any knowledge discovery algorithm (or program) will fail to meet the needs from a data miner who has a novel goal (Wang, S. & Wang, H., 2002). Recently, interactive visual data mining techniques have opened new avenues in the data mining field (Chen, Zhu, & Chen, 2001; de Oliveira & Levkowitz, 2003; Han, Hu & Cercone, 2003; Shneiderman, 2002; Yang, 2003)." @default.
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- W2493551066 date "2011-05-24" @default.
- W2493551066 modified "2023-09-27" @default.
- W2493551066 title "Interactive Visual Data Mining" @default.
- W2493551066 doi "https://doi.org/10.4018/978-1-59140-557-3.ch122" @default.
- W2493551066 hasPublicationYear "2011" @default.
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