Objective: To explore medication rule for treating the liver depression and spleen deficiency of fatty liver disease based on data mining. Method: VIP

CBM and CNKI database were used to collect literatures from the foundation of th database to September 2012 and abibliography literature from 2002 to 2012 by hand on traditional Chinese medicine(TCM) treating the liver depression and spleen deficiency of fatty liver disease. The database meeting the requirement was established for data mining using frequency count

clusteranalysis and association rule to analyze regularity of key herbs and a pair (group) of herbs. Result: There were 104 prescriptions (totaling 163 herbs and 1 227 counts of frequency) in the compound herbal fomulae for liver depression and spleen deficiency of fatty liver disease. The herbs which were used for more than 4 times included 46 herbs (totaling 855 counts of frequency). They were analyzed and classified into 6 clustersincluding tonic

soothing liver drugs

strengthening spleen drugs

apophlegmatisant drugs

regulating Qi agent

absorb clots drugs and promoting digestion. The rules in pair of herbs were14

and rules in group of herbs were 62 by association analysis. The rules consisted mostly of compatibility of relieving the depressed liver and Spleen-strengthening and Damp-removing. Conclusion: Data mining is able to better explore the medication rule of the liver Depression and Spleen deficiency of fatty liver disease which better able to guide the clinic and TCM development.