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

AMPLE

Graves’-disease

A New Approach to Dense Spectrum Analysis of Infrasonic Signals,rum which can leads to potential erroneous spectrum analysis. Hereby we propose a dense spectrum analysis algorithm combining all phase Fast Fourier Transform (apFFT) and Chirp Z-transform (CZT) to analyse dense low frequency signal. This is called all phase Chirp Z transform (apCZT). The apFFT spec

GEON

Research on XDR Bill Compression Under Big Data Technology,arried on in this paper by using the big data technology based on the widely used XDR bill in communication industry. According to different application scenarios, this paper puts forward targeted compression strategy and technological implementation method and verify the high efficiency of associat

overbearing

變形

conquer

大約冬季

A Cooperative Abnormal Behavior Detection Framework Based on Big Data Analytics,re. This paper proposes a cooperative framework to leverage the robustness of big data analytics and the power of ensemble learning techniques to detect the abnormal behavior. In addition to this proposal, we implement a large scale network abnormal traffic behavior detection system performed by the

Cacophonous

追蹤

Hierarchical Access Control Scheme of Private Data Based on Attribute Encryption,ta sharing is too single and soon on, we design a hierarchical access control scheme of private data based on attribute encryption. First, we construct a new algorithm based on attribute encryption, which divides encryption into two phases, and we can design two types of attributes encryption strate

Blood-Clot

https://doi.org/10.1007/978-1-4615-3286-6uristic query order is proposed to solve the problem of load imbalance. Experiments are carried out on two real datasets and the results show that GSPS-TLLO outperforms the state-of-the-art GPU parallel T-overlap algorithms.