New algorithm reduces weather sensor errors by half using data mining.
Scientists developed a new method to improve the accuracy of weather sensor data by using time-series distance instead of spatial distance. By analyzing temperature readings from different stations in California, they found that this new approach reduced errors in predicting temperatures by about half compared to traditional methods.
