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258.045  Articles
1 of 25.805 pages  |  10  records  |  more records»
In this study, we applied the K Support Vector Nearest Neighbor algorithm to reduce data train on data image. The data image that we used is the maize leaves image infected with fungi and healthy maize leave. The aim of data train reduction in this study ... see more

In data mining problem solving it has to operate with a large amount of data samples. This entails a significant amount of time to process the data. Therefore, an urgent task is to reduce the dimensionality of the data samples. The aim of paper is to prov... see more

Learning Vector Quantization (LVQ) is a supervised learning algorithm commonly used for statistical classification and pattern recognition. The competitive layer in LVQ studies the input vectors and classifies them into the correct classes. The amount of ... see more

The problem of data dimensionality reduction for diagnostic and recognizing model construction is solved. The object of study is theprocess of data-driven diagnosis. The subject of study is the data reduction methods for diagnostic model construction on p... see more

Gathering quality wind speed data can be time-consuming and expensive. The present study established whether interval-deficient wind speed data could be rendered useful for wind power assessments. The effect of interval deficiency on the quality of the wi... see more

Gathering quality wind speed data can be time-consuming and expensive. The present study established whether interval-deficient wind speed data could be rendered useful for wind power assessments. The effect of interval deficiency on the quality of the wi... see more

Knowledge Discovery in Databases aims to extract new, interesting and potential useful patterns from large amounts of data. It is a complex process whose central point is data mining, which effectively builds models from data. Data type, quality and dimen... see more

Context. The task of automation of big data reduction in diagnostics and pattern recognition problems is solved. The object of theresearch is the process of big data reduction. The subject of the research are the methods of big data reduction.Objective. T... see more

Mobile Laser Scanning (MLS) technology acquires a huge volume of data in a very short time. In many cases, it is reasonable to reduce the size of the dataset with eliminating points in such a way that the datasets, after reduction, meet specific optimizat... see more

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