Titlebook: Big Data – BigData 2021; 10th International C Jinpeng Wei,Liang-Jie Zhang Conference proceedings 2022 Springer Nature Switzerland AG 2022 a

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Electromagnetic Theory of Light,rnment data. This paper constructs an integrated model that provides insight into factors that influence citizens’ continued intention to use open government data. The model contains 296 effective samples from questionnaires, which are then tested by the Structural Equation Model. It is found that p

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Springer Series in Optical Sciencestrial environment. In response to the above problems, an industrial control system attack detection model based on Bayesian network (BN) and Timed automata (TA) theory is proposed. First, collect the real industrial purification data of the aluminum factory, that is, the sensor and actuator signals,

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A Combination of Resampling and Ensemble Method for Text Classification on Imbalanced Data this issue, six different ensemble methods are used to train models on imbalanced dataset. The result shows that, without resampling the dataset, Stacking algorithm performs better than other ensemble method, it can increase the recall of the minority class by 19.3%. Meanwhile, ensemble algorithms

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Validating Business Problem Hypotheses: A Goal-Oriented and Machine Learning-Based Approachf a client’s account balance toward an unpaid loan would be critical as a bank can take some actions to mitigate the problem. However, business organizations face difficulties confirming whether some business events are against a business goal. Some challenges to validate a problem are discovering t

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Digital Transformation Method for Healthcare Dataation. The Process, Enablement, Tooling, and Synthesis (PETS) method is presented, which provides a holistic approach and discipline to help organizations do it right the first time on digital transformation of unstructured data in the healthcare domain. PETS establishes and evolves a comprehensive