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Numerous product information mobile applications (APPs) have been developed and their download counts are not negligible. The recommendation functions of Apps will help users to efficiently find related products and subsequently the user satisfaction will increase. This study aims to analyze pairwise comparison data using association rules to help the APP developer establish the recommendation system...
We have developed methods for segmentation and tracking of cells in time-lapse phase-contrast microscopy images. Our multi-object Bayesian algorithm detects and tracks large numbers of cells in presence of clutter and identifies cell division. To solve the data association problem, the assignment of current measurements to cell tracks, we tested various cost functions with both an optimal and a fast,...
At present, isolated and single network security system can no longer meet the objective needs. As a new type of network, trusted network can make up many of the traditional network security flaws. Based on the analysis of the background and motivation of trusted network, the article discussed the concept and basic properties. It analyzed the architecture of trusted network and the functions of its...
The traditional intrusion detection systems (IDSs) play an important role in monitoring our network, but they lack abilities in automated intrusion response. Nowadays with the rapidly increased complexity and speed of the attacks spread, there has an urgent need in automated intrusion response. This field has already aroused wide concern. The main obstacle now lies in that accurate measurement of...
The self-organizing map (SOM) is an efficient tool for visualizing high-dimensional data. In this paper, the clustering and visualization capabilities of the SOM, especially in the analysis of textual data, i.e., document collections, are reviewed and further developed. A novel clustering and visualization approach based on the SOM is proposed for the task of text mining. The proposed approach first...
In this paper, the clustering and visualization capabilities of the SOM, specifically tailored for the analysis of textual data, are reviewed and further developed. A novel clustering and visualization approach is proposed for the task of textual data mining. The proposed approach first transforms the document space into a multi-dimensional vector space by means of citation patterns. An intuitive...
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