Aiming at the strategies to improve the brand value of fresh products, this paper uses the field research data, official data, public information data in the industry, etc. in the cold fresh meat market as the data ba...
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Neural network has been widely used in image recognition, because it can imitate the behavior of biological visual nerve to obtain high recognition accuracy. Aiming at image recognition, this paper studies the machine...
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This paper briefly describes the basic principle and the entropy averaging method for local disturbance elimination in airborne gamma-ray spectrum. This method was employed to process t boundary of different lithologi...
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Credit card transactions have become common place today and so is the frauds associated with it. One of the most common modus operandi to carry out fraud is to obtain the card information illegally and use it to make ...
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ISBN:
(纸本)9781538659335
Credit card transactions have become common place today and so is the frauds associated with it. One of the most common modus operandi to carry out fraud is to obtain the card information illegally and use it to make online purchases. For credit card companies and merchants, it is in-feasible to detect these fraudulent transactions among thousands of normal transactions. If sufficient data is collected and made available, machinelearning algorithms can be applied to solve this problem. In this work, popular supervised and unsupervised machinelearning algorithms have been applied to detect credit card frauds in a highly unbalanced dataset. It was found that unsupervised machinelearning algorithms can handle the skewness and give best classification results.
The DEEM workshop brings together researchers and practitioners at the intersection of appliedmachinelearning, data management and systems research, with the goal to discuss the arising data management issues in mac...
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ISBN:
(纸本)9781450356435
The DEEM workshop brings together researchers and practitioners at the intersection of appliedmachinelearning, data management and systems research, with the goal to discuss the arising data management issues in machinelearning application scenarios.
Kernel least mean square algorithm is a simple and effective adaptive algorithm, but it is constrained by its infinite network size. Many schemes have been proposed to reduce the size of the network, but the distribut...
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Based on the theory of output hypothesis and the perspective of Artificial Intelligence (AI), the purpose of present study is to verify the result of applying Virtual Reality (VR) experiment. A quantitative method has...
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This paper considers the route selection of express delivery under the constraint of carbon emission. Two kinds of path optimization models, not con carbon emissions and under the constraint of carbon quota, are const...
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As "banded structure" is a vexed question in orbital Gamma spectroscopy data inversion. In this paper, a new method to level the lunar global data of average atomic number by the fiducial-value in the stable...
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This paper researches the appropriate scale of Chinese government debt from the perspective of debt sustainability and its effect on economic growth. First, we made a model based on fiscal response framework and intro...
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