The embodiment of the invention provides a mining method and device for a highly-expected weight item set of valid time and processing equipment. The method comprises the steps that at least one target event corresponding to a to-be-processed item set is determined; a time validity value of the to-be-processed item set in an uncertain database is determined; an expected support degree of the to-be-processed item set is determined; the expected support degree of the to-be-processed item set is multiplied with an item set weight value of the to-be-processed item set, and an expected weight support degree of the to-be-processed item set is determined; and if the time validity value of the to-be-processed item set in the uncertain database is not smaller than a predefined minimum time validitythreshold value and the expected weight support degree of the to-be-processed item set is not smaller than a product of a predefined minimum expected weight threshold value and the sum of events in the uncertain database, it is determined that the to-be-processed item set is the highly-expected weight item set of the valid time. Through the embodiment, mining of the highly-expected weight item set of the valid time in the uncertain database is realized.