关键词: 电信, 数据挖掘, 欠费主题, 数据质量评估, 缺失, 非平衡, 离群度, ,

Abstract: 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 class-
distribution-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.

Key words: telecom, data mining, insolvency, data quality assessment, missing value, imbalance, outlier degree