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Frequent pattern mining is an important data mining task. Since its introduction, it has drawn attention from many researchers. Consequently, many frequent pattern mining algorithms have been proposed, which include level-wise Apriori-based algorithms, tree-based algorithms, and hyperlinked array structure based algorithms. While these algorithms are popular and benefit from a few advantages, they...
A optimal design method based on intelligent inference is proposed aiming at the existing deficiency such as large design space, low solving efficiency and poor quality caused by many characteristic parameters of complex structural components. By numerical simulation technology and DOE (Design of Experiment), the components are simulated under multi-conditions. The decision table of multidisciplinary...
Studying crop potential model system based on GIS and distributed computing architecture may effectively improve computational efficiency and enhance the independence of the model system. Firstly, the paper constructed crop output potential model system based on distributed computing architecture. Secondly, the paper designed the model system of crop output potential under network environment and...
Forest canopy cover is retrieved Synchronous by the airborne LiDAR data and SPOT-5 HRG data, using the method of linear spectrum decomposition model combined with Li-Strahler geometric-optical model. First, the airborne LiDAR data is used to retrieve forest parameters and then the proportion of pixel not covered by crown or shadow Kg of each pixel in the sample was calculated using Li-Strahler geometric-optical...
This paper seeks to propose a conceptual structural equation model to investigate the relationships among city distribution service quality (SQ), supplier-customer relationship (SCR) and customer satisfaction (CS) and to demonstrate their direct and indirect effects on each other. An empirical study is conducted in Beijing and the collected survey data are used to verify the relationships among the...
This paper firstly reviews common construction of information system of iron & steel enterprise, and then detailedly introduces five-layer structure of data warehouse. It is made of data source layer, operation data storage layer, subject data set layer, data analysis layer and data display layer. Among all, the concept and building process of subject data set and the characteristics of various...
The inspection process of rolling coil wastes time and increases cost of enterprise. The enterprise is eager to find a prediction analysis method which can predict performance of rolling coil by some of relative data. Data Warehouse provide plenty of data for performance prediction. Because productive process is complicated, the statistical analysis method and the traditional machine learning method...
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