Titlebook: Computational Intelligence in Data Science; 4th IFIP TC 12 Inter Vallidevi Krishnamurthy,Suresh Jaganathan,Saraswat Conference proceedings

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Predicting Customer Churn in Banking Based on Data Mining Techniques, the results obtained help in predicting which customer is likely to leave the bank. Furthermore, identifying these essential features will help banks keep customers from churning out and compete with rival banks.

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Ontology Model for Spatio-Temporal Contexts in Smart Home Environments to infer spatial and temporal contexts. In SWRL rules, spatial context provides insight on where an activity happens. This becomes vital when more than one activity takes place at two different places. Thereby, the sensors responsible for monitoring an activity during the occurrence of concurrent e

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Pixel Based Adversarial Attacks on Convolutional Neural Network Models analyzed. From the analysis, it has been inferred that it is easier to fool CNNs using untargeted attacks than the targeted attacks. Also, grayscale images (MNIST) are preferred to generate robust adversarial examples compared to colored images (CIFAR-10).

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