Titlebook: Intelligent Decision Technologies 2019; Proceedings of the 1 Ireneusz Czarnowski,Robert J. Howlett,Lakhmi C. Ja Conference proceedings 2019

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Modeling Customers Speed of Movement from POS- and RFID-Datat in each department from the inverse average speed of movement of a person in a given department. In the case of the analysis performed, the informativeness and importance of using big data for pursuing profit optimization goals become convincing enough.

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Quality Improvement Through the Preventive Detection of Potentially Defective Products in the Automoble preprocessing of the data before they are used for models training. Standard classifiers and ensemble methods were used for the detection of defective products. The satisfactory results achieved by the selected approach lead to significant improvement from the industrial point of view.

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Conference proceedings 2019f classification, prediction, data analysis, decision support, modelling and many more in such areas as finance, cybersecurity, economy, health, management and transportation. The topics cover also problems of data science, signal processing and knowledge engineering.. .

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Classification of Alzheimer’s Disease from Structural Magnetic Resonance Imaging using Particle-Berncombines low complexity and good accuracy, has been developed, (ii) second, an MRI-based computer-aided diagnosis (CAD) system for the classification of AD has been derived. Several experiments on a dataset from Alzheimer’s Disease Neuroimaging Initiative (ADNI) and comparisons with the state-of-the-art establish the performance of the method.

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Selecting Informative Samples for Animal Recognition in the Wildlife the fly” and Gaussian mixture model. The distorted images by visual artifacts are removed preliminary. The experiments were conducted on 30,000 images captured by camera traps in Ergaki national park, Krasnoyarsky Kray, Russia, 2012–2018. The best accuracy result for selecting informative samples achieved 96% regarding the human estimates.

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