Objective: This investigation aimed at applying data mining technology to explore the relationship among symptoms

patterns and medication regularity of hypertension. Method: All the relative literatures were collected from sinomed database

then subject to data slicing algorithm to mine out the relationship among symptoms

patterns and medication regularity of hypertension. Result: The most common symptoms of hypertension are headache(2 650)

dizziness(1 734)

and the patterns are manifested as liver Yang hyperactivity

Yin deficiency and Yang excess as well as upward liver fire

the most injured organ are liver and kidney.Treating methods would be to suppress the upward liver yang and strengthen liver and kidney which should be accompanied by activating Qi and Blood.The most common applied herbs are Gastrodiae Rhizoma and Uncariae Ramulus Cum Uncis. Conclusion: Text mining is a branch of data mining and a practicable technology which can be used in the field of traditional Chinese medicine(TCM).Through putting this technology in the research of TCM clinical practice

both doctors and patients could benefit from it.