Research on telecom insolvency mining oriented data quality assessing strategy

Aiming at telecom insolvency mining,combining with the imbalance nature of telecom insolvency data,the research priority is set upon the impact on classification result caused by missing values and outliers,and thus a Data Quality Assessment System for Telecom Insolvency Mining(TIM-DQAS) is presented.In the missing evaluation sub-system,a classdistribution-based attribute weighting algorithm is presented to measure the missing costs of input attributes.In the outlier evaluation sub-system,the impact on classification result caused by outliers in imbalance data is analyzed,and the outlier degree is proposed to measure the impact caused by outliers.Based on a series of contrast experiments on telecom personal handphone data of a city,a reference assessing result is provided,and the effectiveness of the assessing strategy is verified.