Privacy protection association rule mining method based on sparse data set

The invention discloses a privacy protection association rule mining method based on a sparse data set, and mainly solves the problems that an existing mining method needs to introduce additional calculation overhead and privacy leakage. The scheme comprises the following steps: 1) initializing a system; 2) enabling the data owner to encrypt the uploaded data; 3) enabling a data miner to encrypt, upload and query; 4) performing double-cloud calculation on an inner product ciphertext set of query and transaction, and calculating a support degree ciphertext of query; 5) comparing the support degree with a support degree threshold value by the double-cloud security; (6) enabling the data miner to decrypt the mining result, judge whether the mining result is a frequent item set or not, solve a non-empty proper subset of the frequent item set, and querying, encrypting and uploading the non-empty proper subset and the query; 7) comparing the confidence coefficient with a confidence coefficient threshold value by th