An ontology-based Web mining method for unemployment rate prediction
We address the limitations of existing unemployment rate prediction models. We propose an ontology-based Web mining framework for unemployment rate prediction. Domain ontology construction for Web queries extraction is illustrated. State-of-the-art feature selection and data mining methods are explored. Our research improves the current practice in unemployment trend prediction.
web mining unemployment rate prediction domain ontology search engine query data neural networks support vector regressions