Background: The aim of the present study was to investigate the rules of clinical acupoints selection and combination for Alzheimer's disease(AD)by using data mining technology.Method: The clinical literature regarding acupuncture and moxibustion for AD was searched and collected from databases including Chinese Biomedical Medicine,China National Knowledge Infrastructure,Wanfang Database and PubMed.The database of acupuncture and moxibustion prescriptions for AD was established by using Excel software so as to conduct the descriptive analysis,association rule analysis on the data.Results: Baihui(GV 20),Sishencong(EX-HN1),Shenmen(HT7),Zusanli(ST36),Neiguan(PC6),et al.were of higher frequency in the treatment of AD with acupnucture and moxibustion.Most acupoints were selected from the Governor Vessel.The commonly used acupoints were located on the head,face,neck and lower limbs.The combination of the local acupoints with the distal ones was predominated.The crossing points among the specific points presented the advantage in the treatment.The association rule analysis indicated that the correlation among Fengchi(GB20)-GV20 was the strongest,followed by combinations of Dazhui(GV14)-GV20,Shenshu(BL23)-GV20 and PC6-GV20 and indicated the common rules of the clinical acupoint selection and combination for AD.Conclusion: All of these results provide a reference for acupoints selection and combination for AD in clinical acupuncture practice.