Research Article
[Retracted] Design of Customer Churn Early Warning System Based on Mobile Communication Technology Based on Data Mining
Table 1
Number of set tuples based on user attributes.
| Property set | Attribute value | Number of tuples | Number of tuples | Number of tuples | Number of tuples |
| Stat ID attributes | Customer status in January 2009 | Stat = 0 | Stat = 10. | Stat = 5 | Stat = space | 9956 | 421 | 204 | 870 |
| Create_Time. | Network access time ≥3 years | 5888 | 102 | 50 | 153 | 1years ≤ network access time <3 years | 1520 | 122 | 42 | 140 |
| Credit_Level | Credit rating = advanced | 1156 | 52 | 26 | 22 | {6,7,8,9, 10} | Credit rating = advanced {1,2,3,4, 5} | 8728 | 411 | 175 | 841 |
| ZD-5/previous | Consumption in December ≤60yuan | 355 | 45 | 30 | 650 |
| Consumption | Consumption in December >60yuan | 9500 | 382 | 180 | 240 |
| ZD-10 ZD-11 ZD-12
| Average consumption in the first three months ≤60yuan | 140 | 20 | 10 | 240 | Average consumption in the first three months >60yuan | 9800 | 395 | 188 | 476 |
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