Under the framework, a neural network method, as one of the most effective data mining tools, is developed to forecast unemployment trend using search engine ...

In this paper, a novel neural network based forecasting method is proposed for the unemployment rate prediction using search engine query data. The ...

In this paper, a novel neural network based forecasting method is proposed for the unemployment rate prediction using search engine query data. The ...

A Neural Network Based Forecasting Method For the Unemployment Rate Prediction Using the Search Engine Query Data ... This gap map is available as a public good.

A Neural Network Based Forecasting Method For the Unemployment Rate Prediction Using the Search Engine Query Data ... This gap map is available as a public good.

A novel neural network based forecasting method is proposed for the unemployment rate prediction using search engine query data, and the empirical results ...

Apr 25, 2023 · This article forms an attempt to expand the ability of online search queries to predict initial jobless claims in the United States and further explore the ...

In this paper, a data mining framework using search engine query data for unemployment rate prediction is presented. Under the framework, a set of data mining ...

Xu W, Zheng T, Li Z (2011) A neural network based forecasting method for the unemployment rate prediction using the search engine query data. In: Proceeding ...

This paper proposes the innovative GA-LSTM method, which fuses an LSTM neural network with a genetic algorithm to address challenges in unemployment prediction.