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Outlier detection is an important research problem in data mining and image analysis. In this paper, the ideas in the PageRank algorithm are borrowed to construct a novel outlier detection method. In this method, three detecting stages are performed to detect three different types of outliers by using different detecting strategies. The whole process is called tri-stage detection. Effectiveness of...
Compared with VSM (Vector Space Model) and graph-ranking models, LDA (Latent Dirichlet Allocation) Model can discover latent topics in the corpus and latent topics are beneficial to use sentence-ranking mechanisms to form a good summary. In the paper, based on LDA Model, a new method of sentence-ranking is proposed. The method combines topic-distribution of each sentence with topic-importance of the...
One of the key problems of information extraction is to design a cross domain extraction procedure that can adapt different domain topics and text formats. However, most information extraction methods focus on specific areas or only have limited scalability for semi-structured texts. We argue that the problem of cross domain information extraction is basically introduced by domain related features...
Employee engagement is key factor in enterprise performance. It is also a research spot in organization behavior. In this paper, decision tree algorithm of data mining is used to model and analyze employee data information of IT enterprises. The algorithm provides important decision-making basis for administrative personnel according to all the knowledge retrieved deeply.
The firm theory tells reasons why it exists and where is the boundary, and various theories give their own views differently. This paper tries to classify firm theory into two types, namely transaction cost economics theory and evolutionary economics theory which based on static and dynamical analysis, so as to restudy the relations of these theories and reconstruct a new development of the firm theory...
In this paper, on foundation of [D.S. Cohen and J.D. Murray, 1981; G.W. Chen et al., 1996; Chen Ning, 2005; Qi Lin Liu et al., 2003], to study population problem with extension Ginzbur-Landau type for (1) (3) and more general higher order nonlinear parabolic equation with initial bounded value problem which expresses it in existence, unique for classical solution, and by some method, to study this...
Avalanche photodiode detector has come to more and more attention due to single photon detection sensitivity, low noise in night vision field. However, avalanche photodiodes (APD) made of different materials have different photon detection efficiency characteristics. The spectral matching factors were computed and analyzed based on the spectrums of night sky, Si APD & InGaAs APD and typical object...
With more and more increasingly significant attention has paid to operational risk, it is urgent for the banks to find some suitable approaches to measure and manage their operational risk. An operational risk management system (ORMS) is set up, which based on case-based reasoning (CBR) methods. The frame of operational risk management system is presented. Some key techniques associated with the CBR...
Recently, dataspace has been proposed as a new architecture in the evolution of information integration. However, how to fulfill the vision of dataspace, i.e. pay-as-you-go integration, is still a suspensive issue, and the first challenge is data modeling. In this paper, we present a flexible data model called triple model which is similar to RDF but more suitable to dataspace applications. Information...
In order to improve the quality of the infrared image, a kind of algorithm based on fuzzy-set and multi-scale wavelet decomposition (FSMW) to enhance the edge without the noise enhancement is advanced in this paper. Because the details and the noise of the image are difficult to distinguish and the edges are distributed in multi-scales, the membership functions in each scales of the noise, the low...
With the continuously expanded means of obtaining spatial data, many real life applications would substantially benefit from introducing spatial representations of the data. More and more researchers pay attention to SDSS (spatial decision support system). Spatial data warehouse provides an efficient analysis environment for both spatial data and non-spatial data, and ComGis can simplify the processing...
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