The scientists developed a technique called time-series trending structure mining to analyze time series data. They defined a new concept called time-series trending structure series and used it to predict trends in the data. By converting the data into trending structure series, they were able to accurately predict future trends using a model called RBF neural network. The results of their experiments showed that this technique is effective for analyzing time series data.