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Titlebook: Data Science; Third International Beiji Zou,Min Li,Zeguang Lu Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017 Data ana

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Master Data of Bill of Materialresults proved that desktop data greatly contributed to providing effective personalized reference words. Besides, the results demonstrated that a user’s long-term interest model performed steadier than work task context, but the most valuable words were the top-3 words extracted from the work context.
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Viola Katharina Klotz,Esther Wintherrvals are less than the ordinary frequency resolving power of Discrete Fourier Transform (DFT) and apFFT. The apCZT it is not only suitable for infrasonic signals but also in other dense spectrum analysis applications, such as voice, vibration, noise, electrocardiography, radar signals, power system harmonics and other engineering practice.
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A New Approach to Dense Spectrum Analysis of Infrasonic Signals,rvals are less than the ordinary frequency resolving power of Discrete Fourier Transform (DFT) and apFFT. The apCZT it is not only suitable for infrasonic signals but also in other dense spectrum analysis applications, such as voice, vibration, noise, electrocardiography, radar signals, power system harmonics and other engineering practice.
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An Improved FP-Growth Algorithm Based on SOM Partition,th algorithm is executed in each subset, and association rules are mined. The experimental result shows that the improved algorithm reduces the memory consumption, and shortens the time of data mining. The processing capacity and efficiency of massive data is enhanced by the improved algorithm.
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Hierarchical Access Control Scheme of Private Data Based on Attribute Encryption, the private data inferior to their permissions. And we outsource some complex operations of decryption to DSP to ensure high efficiency on the premise of privacy protection. Finally, we analyze the efficiency and the security of our scheme.
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