The　emergence　of　knowledge　economy　has　enabled　the　competition　among　companies　to　transform　into　science　and　technology　(S&T)　competition　and　technology　innovation　ability　competition.　While　as　the　largest　source　of　the　technical　information,　patent　information　contains　a　large　number　of　technology　development　opportunities,　so　how　to　collect　and　analyze　the　useful　information　from　the　complicated　and　massive　patent　information　and　take　full　advantage　of　them　for　companies　is　of　great　significance　in　enhancing　the　technology　innovation　ability　of　companies.　This　paper　attempts　to　establish　a　basic　process　of　patent　information　analysis　based　on　data　mining　(DM)　techniques,　so　as　to　illustrate　new　ideas　of　analyzing　patent　information:　Firstly,　collect　the　patent　information　related　to　the　analyzing　technology　field　from　the　patent　databases,　and　then　utilize　text　mining　techniques　to　extract　the　keywords　from　the　patent　data,　finally,　we　use　the　data　mining　methods　to　mine　and　analyze　the　data　deeply,　with　the　purpose　of　obtaining　the　competitive　intelligence　of　potential　value　and　providing　an　information　support　for　technology　innovation　activities　of　companies.　©　2010　IEEE.