Data Warehousing and Data Mining - a Case Study
Milija Suknović, Milutin Čupić, Milan Martić, Darko Krulj (2005)
The Yugoslav Journal of Operations Research
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Milija Suknović, Milutin Čupić, Milan Martić, Darko Krulj (2005)
The Yugoslav Journal of Operations Research
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Marek Sikora, Beata Sikora (2012)
International Journal of Applied Mathematics and Computer Science
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A method of combining three analytic techniques including regression rule induction, the k-nearest neighbors method and time series forecasting by means of the ARIMA methodology is presented. A decrease in the forecasting error while solving problems that concern natural hazards and machinery monitoring in coal mines was the main objective of the combined application of these techniques. The M5 algorithm was applied as a basic method of developing prediction models. In spite of an intensive...
Przemysław Grudziński, Marek Wojciechowski (2009)
Control and Cybernetics
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Peiquan Jin, Hong Chen, Xujian Zhao, Xiaowen Li, Lihua Yue (2011)
Computer Science and Information Systems
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Welch, Charles (2014)
Serdica Journal of Computing
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ACM Computing Classification System (1998): I.4.9, I.4.10. Image classification is an essential problem for content based image retrieval and image processing. Visual properties can be extracted from images in the form of MPEG-7 descriptors. Statistical methods can use these properties as features and be used to derive an effective method of classifying images by evaluating a minimal number of properties used in the MPEG-7 descriptor. Classification by artist, artistic movement,...
Richard D. De Veaux (2001)
Journal de la société française de statistique
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Kristína Machová, Miroslav Puszta, František Barčák, Peter Bednár (2006)
Computer Science and Information Systems
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Joaquín Abellán (2005)
Mathware and Soft Computing
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We present a variation of a method of classification based in uncertainty on credal set. Similarly to its origin it use the imprecise Dirichlet model to create the credal set and the same uncertainty measures. It take into account sets of two variables to reduce the uncertainty and to seek the direct relations between the variables in the data base and the variable to be classified. The success are equivalent to the success of the first method except in those where there are a direct...
Rafał Biedrzycki, Jarosław Arabas (2012)
International Journal of Applied Mathematics and Computer Science
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This paper presents an application of methods from the machine learning domain to solving the task of DNA sequence recognition. We present an algorithm that learns to recognize groups of DNA sequences sharing common features such as sequence functionality. We demonstrate application of the algorithm to find splice sites, i.e., to properly detect donor and acceptor sequences. We compare the results with those of reference methods that have been designed and tuned to detect splice sites....
Yunfeng He, Junqing Yu (2010)
Computer Science and Information Systems
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Hoai Tran, Van Pham, Hoang Vuong (2014)
International Journal of Applied Mathematics and Computer Science
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Paweł Cichosz, Łukasz Pawełczak (2014)
International Journal of Applied Mathematics and Computer Science
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Piotr Szwed, Paweł Skrzyński (2014)
International Journal of Applied Mathematics and Computer Science
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