Objective:To summarize Professor Fan Zhongze’s medication rule of prescriptions in treating colon cancer by means of data mining based on “feature analysis and data mining software for TCM prescriptions in syndrome differentiation and treatment”. MethodsProfessor Fan Zhongze’s outpatient prescriptions for colon cancer were collected, and the medication rule and prescription characteristics were analyzed by data frequency statistics and association rules in “feature analysis and data mining software for TCM prescriptions in syndrome differentiation and treatment”.  Results:①A total of 212 cases were included in this study, and 762 prescriptions were used. Among them, there were 16 drugs used in high frequency, such as Fulin (Poria), Baizhu (Atractylodis Macrocephalae Rhizoma), Banzhilian (Scutellariae Barbatae Herba), Huangqi (Astragali Radix), Yeputaoteng, Dangshen (Codonopsis Radix); there were 32 couplet medicines used in high frequency, such as Fuling- Baizhu, Fuling- Banzhilian, Banzhilian- Huangqi; there were 23 medicine groups that composed of three drugs, such as Fuling- Banzhilian- Huangqi, Fuling- Baizhu- Huangqi, Baizhu- Banzhilian- Huangqi; there were 17 medicine groups that composed of four drugs, such as Fuling- Baizhu- Banzhilian- Huangqi, Fuling- Baizhu- Huangqi- Dangshen, Fuling- Banzhilian- Huangqi- Dangshen.  Conclusion:16 high-frequency drugs, 32 common couplet medicines and 23 medicine groups of three drugs and 17 medicine groups of four drugs, which Professor Fan Zhongze used in treating colon cancer, are summarized. Data mining can be used for the study on experience of TCM famous and veteran doctors.