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Titlebook: Advanced Data Mining and Applications; 15th International C Jianxin Li,Sen Wang,Shuliang Wang Conference proceedings 2019 Springer Nature S

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https://doi.org/10.1007/978-3-662-34669-3 design, among others. We propose a novel method, named ., to identify . better. To improve the efficiency of the mining process, we devise a new mechanism to evaluate the high utility itemsets that will emerge, which has the ability to capture and store the information about potential high utility
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https://doi.org/10.1007/978-3-662-26599-4ically, we choose feature subset that contains most of the underlying information, using the same criteria as the Independent component analysis (ICA). Simultaneously, the noise is separated as an independent component. The isolation of representative noise samples is achieved using factor oblique r
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https://doi.org/10.1007/978-3-531-94197-4and it can approximate other subsets of the domain space with the fuzzy equivalent approximation space more precisely. Furthermore, RS-FRS model does not need to set parameters for the model in advance, which helps reduce the model complexity and human intervention effectively. At the same time, we
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Thomas Drosdowski,Marc Ingo Woltere art of transactional rule mining, and applies them to time series. It proposes a new definition of the support, which overcomes the limitations of previous definitions. Experiments on two databases of real data coming from connected environments show that this algorithm extracts relevant usual situations and outperforms the state of the art.
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