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In this paper, we make analysis and knowledge extraction on the process parameters of affecting stock market using Rough Lattice model. In order to forecast the risk of stock market, we utilize stock quotation data to mine rules according to CM_CARCL (Compressed Matrix Based Construction Algorithm of Rough Concept Lattice).The experiment shows that these rules mined from stock quotation can reflect...
This paper can be divided two parts, the first one researches the characteristic of mining association rules in quantitative attributes relations, and presents a method by coordinating data to transform quantitative attributes data to Boolean attribute for mining and numerical attribute for clustering. The second part, on the base of coordinating data, data is clustered, and then association rules...
Nowadays, the relevance research of information becomes the hotspot in teaching research field, especially the relevance of information can guide students' study effectively and promote their enthusiasm. This paper put forward the design scheme and realization process for graduate study guiding system based on text mining, which include the preparation and selection of data, preprocessing of data,...
In this paper, the improved structural optimization algorithm of the flexible neural tree model is employed to select the parameters for the industrial production. With the highest accuracy and the shortest time to find the important parameters affecting the production so as to provide a theoretical support for the control of fluid industry production. In the period of learning of the flexible neural...
The paper introduces that cement decomposing furnace plays an important role in the pre-decomposing system. To make clear the complex relation among its related factors and control its production process better, the paper presents a method of making use of flexible neural tree (FNT) to construct its production process model. The FNT modelpsilas structure and parameters are optimized by probabilistic...
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