Frequent　itemsets　mining　is　an　important　data　mining　task　and　a　focused　theme　in　data　mining　research.　Apriori　algorithm　is　one　of　the　most　important　algorithm　of　mining　frequent　itemsets.　However,　the　Apriori　algorithm　scans　the　database　too　many　times,　so　its　efficiency　is　relatively　low.　The　paper　has　therefore　conducted　a　research　on　the　mining　frequent　itemsets　algorithm　based　on　a　across　linker.　Through　comparing　with　the　classical　algorithm,　the　improved　algorithm　has　obvious　advantages.