The correlation analysis and prediction between mobile phone users complaints and telecom equipment failures under big data environments
According to cellphone customer complaints data and telecommunications equipment failures data provided by company, the correlation analysis and prediction are carried out under environment of Hadoop2.0 for fault prediction timely. Firstly, the main cause of customer's complaints was found out by using hierarchical clustering method. Then, the association rules between customer complaints and equipment failures were mined by using APRIOR algorithm, Finally, the prediction model was established based on decision tree, using it to predict the equipment failures with the main cause of customer complaints. The single-node fault problem of Hadoop1.0 was solved and the cluster implemented independent resource management and scheduling under the architecture of Hadoop2.0.