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Platforms that are based on heterogeneous architectures require an intelligent resource manager. An intelligent resource manager should be able to accurately predict the future workload of the system at hand and take it into consideration. In this paper, we show that there exist patterns in the interarrival times of resource requests, and that these patterns can be used for modeling and prediction...
Manufacturing quality prediction performance is influenced by multi-parameter in manufacturing multi-stage processes. To solve this problem, a two-step feature learning approach (TFLR) is proposed in this paper. For the first step learning, the multi-parameter feature (high-dimensional information) is learned by a manifold learning algorithm (ML), which can enhance the representation of the multi-parameter...
Nowadays, the ability to convert call records from voice to text makes it possible to apply text mining methods to extract information from calls. In this study, it is aimed not only to evaluate the sentiment (positive/negative) of the calls in general, but also to measure the customer satisfaction and representative's performance by using call record texts. New features have been extracted from texts...
Depression has become a public health concern around the world. Traditional methods for detecting depression rely on self-report techniques, which suffer from inefficient data collection and processing. This paper built both classification and regression models based on linguistic and behavioral features acquired from 10,102 social media users, and compared classification and prediction accuracy respectively...
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