While the processing of natural language is beneficial to the text mining, Chinese word segmentation is an important step in the processing of Chinese natural language. In this paper, the convergence essence of the segmentation process is analyzed, and a theory of Chinese word segmentation based on language situation is deducted. Based on the segmentation theory, an algorithm of Chinese word se...

Direct 3D volume segmentation is one of the difficult and hot research fields in 3D medical data field processing. Using the clustering and analyzing techniques of data mining, a new clustering and segmentation algorithm for 3D medical image based on density-isoline is presented. Firstly, According to the physical means of the medical data, the voxel’s gray level value in data field is redefine...

For the success of CRM, it is important to target the most profitable customers of a company. Many CRM researches have been performed to calculate customer profitability and develop a comprehensive model of it. Most of them, however, had some limitations and accordingly the customer segmentation based on the customer profitability model is still underutilized. This paper aims at providing an ea...

We study the problem of automatic recognition and segmentation of objects in indoor RGB-D scenes. We propose to formulate the object recognition and segmentation in RGBD data as a binary object-background segmentation, using an informative set of features and grouping cues for small regular superpixels. The main novelty of the proposed approach is the exploitation of the informative depth chann...

background: data mining (dm) is an approach used in extracting valuable information from environmental processes. this research depicts a dm approach used in extracting some information from influent and effluent wastewater characteristic data of a waste stabilization pond (wsp) in birjand, a city in eastern iran. methods: multiple regression (mr) and neural network (nn) models were examined us...

background the presence of an infected family member significantly increases the risk of hbv transmission, but many socio-demographic and viral characteristics of family members affect the transmission rate. objectives in this study, we have used data mining techniques to investigate the impact of different variables in intrafamilial transmission of hbv infection. patients and methods demograph...

often in modeling the engineering optimization design problems, the value of objective function(s) is not clearly defined in terms of design variables. instead it is obtained by some numerical analysis such as fe structural analysis, fluid mechanic analysis, and thermodynamic analysis, etc. yet, the numerical analyses are considerably time consuming to obtain the final value of objective functi...

In this paper, a general mining approach based on decision trees for segmenting image data is proposed. Pixel-wise image features are extracted and transformed into a database-like table that allows existing data mining algorithms to dig out useful information. Each tuple in the table has a feature descriptor consisting of a set of feature values for a given pixel along with its label. With the...