Titlebook: Electronic Government and the Information Systems Perspective; 10th International C Andrea Kö,Enrico Francesconi,Ismail Khalil Conference p

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In Search of Marie-Antoinette in the 1930s an automatic investigation of this polarity using sentiment analysis techniques. We collected 980,577 tweets published between January and November of that year and compared four supervised machine learning algorithms: Multinomial Naïve Bayes, Logistic Regression, Support Vector Machines, and Rando

conifer

https://doi.org/10.1007/978-3-642-95481-8revenue of a country. We design a model based on variational graph autoencoders and clustering to identify taxpayers who are evading indirect tax by providing false information in their tax returns. We derive six correlation parameters (features) and three ratio parameters from the data submitted by

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The Province and Function of Peace Researchents with the Federal Government to execute their public policies. To improve timeliness in the recovery process of default resource usage, a classification tool is necessary to assign risk profiles of the success or failure of these transfers. In this paperwork, we propose the use of the eXtreme Gr

Catheter

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/306318.jpg

费解

Can Tech4Good Prevent Domestic Violence and Femicides? An Intelligent System Design Proposal for Reso integrate crime prediction and prevention solutions into the institutional system. By satisfying prediction, prevention, and protection functions simultaneously, it aims to address most of the existing system‘s pain points.