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In order to better model complex real-world data and to develop robust features that capture relevant information, we usually employ unsupervised feature learning to learn a layer of features representations from unlabeled data. However, developing domain-specific features for each task is expensive, time-consuming and requires expertise of the data. In this paper, we introduce multi-instance clustering...
Sharing real-time aggregate statistics of private data is of great value to the public to perform data mining for understanding important phenomena, such as Influenza outbreaks and traffic congestion. However, releasing time-series data with standard differential privacy mechanism has limited utility due to high correlation between data values. We propose FAST, a novel framework to release real-time...
With the development of information technology, E-Government has become a key indicator to measure the evaluation of government performance reform in the world. In this research, we took Xi'an Municipal's G2B model E-Government for example to survey how wildly adoption of G2B model E-Government in society, and explore what factors influence the enterprises' intention of using G2B mode E-Government.
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