Since big data sets are structurally complex, high-dimensional, and their attributes exhibit some redundant irrelevant information, the selection, evaluation, combination of those large-scale pose huge challenges to traditional methods. Fuzzy rough have emerged as a powerful vehicle deal with uncertain fuzzy in problems that involve very large number variables be analyzed short time. In order f...

In recent years, the distribution of dopamine receptor subtypes among the principal neurons of the neostriatum has been the subject of debate. Conventional anatomical and physiological approaches have yielded starkly different estimates of the extent to which D1 and D2 class dopamine receptors are colocalized. One plausible explanation for the discrepancy is that some dopamine receptors are pre...

In some statistical process control applications, the process data are not Normally distributed and characterized by the combination of both variable and attributes quality characteristics. Despite different methods which are proposed separately for monitoring multivariate and multi-attribute processes, only few methods are available in the literature for monitoring multivariate-attribute proce...

In this paper, 2D seismic data and petrophysical logs of the Pabdeh Formation from four wells of the Mansuri oil field are utilized. ΔLog R method was used to generate a continuous TOC log from petrophysical data. The calculated TOC values by ΔLog R method, used for a multi-attribute seismic analysis. In this study, seismic inversion was performed based on neural networks algorithm and the resu...

The problem of deciding which subset of values of a categorical-valued attribute to branch on during decision tree generation is addressed. Algorithms such as ID3 and C4 do not address the issue and simply branch on each value of the selected attribute. The GID3* algorithm is presented and evaluated. The GID3* algorithm is a generalized version of Quinlan’s ID3 and C4, and is a non-parametric v...

To aim at the evaluation task of CLP2012 named entity recognition and disambiguation in Chinese, a Chinese name disambiguation method based on adaptive clustering with the attribute features is proposed. Firstly, 12-dimensional character attribute features is defined, and tagged attribute feature corpus are used to train to obtain the recognition model of attribute features by Conditional Rando...