Abstract: A method for detecting an abnormal occurrence of an application program includes a feature parameter collected according to the log data of at least one application program. The feature parameter is inputted into a first and a second prediction model and a first and a second detection model, and the feature parameter is calculated based on the first and the second prediction model and the first and the second detection model to respectively generate a first and a second prediction value and a first and a second detection value. The first and the second prediction value and the first and the second detection value are respectively weighted based on an abnormal score evaluation equation to generate an abnormal evaluation value of the application program. Finally, the abnormal evaluation value is inputted into a warning ranking model to rank the abnormal evaluation value, generating the corresponding warning signal.