The intelligent decision support systems process a large amount of data. Often, the information is duplicated, which slows down the process of predictive models building. The iWizard-E system, which is designed to assist the university applicants in choosing a training direction, has the function of duplicate records removal from the data before building a predictive model. The paper analyzes the influence of the mentioned function on the system operation. To this end, a series of experiments were conducted, during which various samples were processed, containing the individual features of students and the information about their graduation from the university, after which the recommendations were generated regarding the choice of a preferred course of study. The samples were formed on the basis of a set containing only unique records. Then the real data were compared with the results issued by the system. The F-measure was used as a quality criterion. It was found that duplicate removal has a positive effect on the quality of work of iWizard-E. This fact is of high practical significance: the amount of data required for the formation of reliable predictive models and, as a result, reliable recommendations to the applicants is reduced. Moreover, the time required to build the predictive models is reduced.
The algorithm of homography superposition of the television signals was shown in this article. The algorithm allows improving noise immunity for homography parameters of television signal with textural fragments. The core of the estimation procedure of homography parameters for image superposition is the matching of the feature points. The feature points are local extremes of the pixel brightness of the image. The matching is defined by the maximum correlation coefficient between a region of the image of a neighbor area of the feature point. The log-polar system of the images provides an invariant correlation of scale and rotate are proportional offsets along the axis in this coordinate system. The noise immunity is provided due to the developing procedure of removing feature points in the textural region. This procedure leads to decreasing probability of error matching of the feature points. The numerical modeling shows high noise immunity of the developed procedure in comparing the current researches.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.