Abstract
As large amount of Web data in the network and up to date, how to dig out the useful parts from the massive data, as the traditional mining methods can only dig out the data from the out dated and old parts, in this way, it can not make a rational predict of the future result. On the basis of this, the paper proposes a concept of a dynamic data mining and through a sliding window for data collection, the excavation of dynamic processing algorithms, thus arrives at a dynamic mining algorithm DDMA.
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© 2011 Springer-Verlag Berlin Heidelberg
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Gao, R. (2011). The Research of Dynamic Mining Technology in the Application of E-Commerce. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23324-1_77
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DOI: https://doi.org/10.1007/978-3-642-23324-1_77
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23323-4
Online ISBN: 978-3-642-23324-1
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