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Public safety has been discussed for many years, but how to use and understand crime data is still difficult. Limitations of previous research were mainly restricted by technology. The significant technological advance since last century provided a tool for researchers to compute large amount of data and complicate models while shrinking process time too. This research tried to combine results from...
This paper proposes a state space model to describe multivariate autocorrelated zero-inflated count series. The model extends the classical zero-inflated Poisson distribution into multivariate cases but is able to impose different zero inflations on different dimensions. Combing the zero inflation with the log-normal mixture of independent Poisson distribution, this model allows for flexible cross-correlations...
With the development of the technology, life is filled with increasing information equipment. When they work, a great deal of information will be radiated. For the leaked information, an interception system is built with USRP (Universal Software Radio Peripheral), and the line synchronization signal was extracted with a method called cepstrum. Compared with the method of autocorrelation, the new method...
The real-time information on the Web changes dynamically and surge quickly, which cause considerable difficulty in access to interested information. How to mine hot events, how to analyze the correlation of events and how to organize information structurally are challenging tasks. In this paper, to address these problems, we propose STeller, an approach to mine context-aware story — a series of correlated...
The longitudinal survey is conducted to collect responses from the target population repeatedly over long periods of time, aiming to analyze and monitor the response development as time goes on. However so far systematic detection methodology for survey response changes is still in its infancy. In this regard, this paper sheds light on this field by applying statistical process control (SPC) methodology...
In this paper, we propose a novel complete two-dimensional shadow fading modeling on system level characterized by both spatial auto-correlation and site-to-site cross-correlation. Numerical results confirm that the proposed algorithm based on two-dimensional filter to generate shadowing auto-correlation is more approaching theoretical results comparing with the previous method, and the empirical...
Internet and E-Commerce are becoming an integral part of everyday life as we accumulate more and more knowledge that demands for some personalized recommendation technology. Collaborative filtering recommendation is the most successful personalized recommendation algorithm among current technologies. The paper suggests the two-phase clustering-based collaborative filtering algorithm. which not only...
RMB appreciation and rising real estate market price have become the hot economic issues in China. Do they have any correlations? This paper is trying to analyze these correlations. This paper reviews China's RMB exchange rate and the real estate market price of the relevant circumstances, and Using Co-integration model and Granger-Causality tests the correlations between RMB exchange rate fluctuation...
Corporate social responsibility is an important value orientation of economic and social development. As financial services intermediaries, the commercial banks for a country's economic health are particularly important. Actively fulfilling their social responsibilities is also an effective way to enhance the competitiveness of banks. In-depth study on the disclosure status and impact factors of commercial...
In this paper, we apply the least-square support vector machine (LS-SVM) to operon prediction of Escherichia coli (E.coli), with different combinations of intergenic distance, gene expression data, and phylogenetic profile. Experimental results demonstrate that the WO pairs tend to have shorter intergenic distances, higher correlation coefficient and much stronger relation of co-envoled between phylogenetic...
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