Frequent item set mining method

A technology of frequent itemsets mining and frequent itemsets, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of insufficient mining efficiency of mining results availability, hindering the application of differential privacy protection technology, etc.

Inactive Publication Date: 2016-07-06
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

However, the above algorithms have shortcomings in the availability of mining results and mining efficiency, which hinders the application of differential privacy protection technology in frequent pattern mining research.

Method used

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  • Frequent item set mining method
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  • Frequent item set mining method

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Embodiment Construction

[0078] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0079] The flow of the frequent itemset mining method in the embodiment of the present invention is as follows: figure 1 shown, including the following steps:

[0080] Step S1: Preprocessing the original database. Using the intelligent segmentation method, the transaction in the original database whose length is greater than the specified limit length is divided into multiple sub-transactions, so that the length of each transaction in the transformed database is not greater than the specified limit length.

[0081] Step S2: Mining frequent itemsets under the premise of satisfying differential privacy protection. Mining frequent itemsets in the transformed database accor...

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Abstract

The present invention relates to the field of data mining and data privacy technology, and discloses a frequent itemset mining method, including: S1: Divide a transaction whose transaction length is greater than the limit length in the original database into multiple sub-transactions, so that each transaction in the divided database The length of is not greater than the limit length; S2: According to the pre-specified support threshold, use the support estimation method and the dynamic descent method to mine frequent itemsets in the divided database. The present invention can provide higher mining efficiency and availability of mining results while satisfying differential privacy protection.

Description

technical field [0001] The invention relates to the technical fields of data mining and data privacy, in particular to a frequent item set mining method. Background technique [0002] Frequent itemset mining is a basic problem in the field of data mining, and it has a wide range of applications in many fields. Frequent itemset mining can be described as follows: Given a transaction database, each transaction corresponds to a user's personal record. where a transaction is a collection of items. Given an itemset (a collection of items), its support refers to the number of transactions that contain this item set. When the support of an itemset is not less than a given threshold, the itemset is called a frequent itemset. When a transactional database and a threshold are given, frequent itemset mining is to mine all frequent itemsets that appear in the database. [0003] In frequent itemset mining, the FP-growth algorithm [2] is a widely used mining algorithm. FP-growth alg...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 程祥苏森许胜之徐鹏双锴王玉龙张忠宝
Owner BEIJING UNIV OF POSTS & TELECOMM
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