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In order to make better use of the hidden information value in the Deep Web, get fast and accurate access to the embedded entity data, this paper presented a method for extracting entity data from Deep Web precisely, designed a entity extraction system, which will extract data from Deep Web automatically. Firstly, designed a web crawler based on the characteristics of Deep Web, take advantage of the...
To support the knowledge discovery and decision making from large-scale, multi-dimensional, continuous data sets, novel systems of visual analytics need the capability to identify hidden patterns in data that are critical for in-depth analysis. In this paper, we present a work-centered approach to support visual analytics of complex data sets by combining user-centered interactive visualization and...
This paper introduces fuzzy evaluation based multisensor information fusion technology to process the data that obtained with various environmental sensors in the coal mine monitoring system. Through the synthetic operation with the decision rule at the data fusion center, the accurate state parameter estimation of the environment was obtained. Software instrument is introduced in the environment...
Based on introduction of the background and the limitations of present methods for coal and gas outburst, a hybrid method for prediction of coal and gas outburst based on soft sensor and data fusion combining many associated dynamic and static influence factors is proposed. In the method, the data fusion method based on arithmetic mean and batch estimation is used to process the dynamic influence...
Aiming at the inseparable multi-class problem, a new multi-class SVM recognition algorithm of the decision tree based on the between-class dissimilarity matrix is presented after the two novel concepts of the shorter neighboring distance and the between -class dissimilarity matrix are defined. In the algorithm, the centroids of all the classes are firstly calculated. Then the between-class city-block...
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