Psychological behavior analysis method based on compatible storage rate and FP-growth

Abstract

The invention relates to a psychological behavior analysis method based on a facultative rate and FP-growth and belongs to the technical field of data mining. The method includes, firstly, establishing an affair database of human psychological behavior vocabulary data; then, solving a compatible storage rate and a minimum compatible storage rate of each psychological behavior vocabulary compatiblestorage rate item so as to reserve a strong association item and generate a new transaction set D; then, scanning the D for the first time, and calculating and reserving frequent vocabularies; then scanning D for the second time, and constructing a frequent pattern tree FP-tree, and extracting a frequent item set; secondly, generating a corresponding strong association rule by each frequent itemset, and calculating the confidence degree of each strong association rule; and finally, sorting the frequent item sets according to the confidence degree of each strong association rule, and visuallydisplaying the association degree of each psychological behavior vocabulary according to the result. According to the invention, the optimized PE-growth algorithm plays a role in correlation analysisof human psychological behavior vocabularies, and a more accurate and efficient analysis method is provided for disciplines such as psychology and micro-expressions.

Description

technical field [0001] The invention relates to a psychological behavior analysis method based on coexistence rate and FP-growth, which belongs to the technical field of data mining. Background technique [0002] The FP-growth algorithm is an association analysis algorithm proposed by Han Jiawei et al. in 2000. It adopts the following divide-and-conquer strategy: compress the database that provides frequent itemsets into a frequent pattern tree (FP-tree), but still retain the item set association information. A data structure called Frequent Pattern Tree is used in the algorithm. FP-tree is a special prefix tree consisting of frequent item header table and item prefix tree. The FP-growth algorithm speeds up the entire mining process based on the above structure. [0003] This algorithm has been widely used in various fields such as business and network security, but it has not been applied to the field of psychological behavior correlation analysis. At the same time, the...

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Problems solved by technology

[0003] This algorithm has been widely used in various fields such as business and network security, but it has not been applied to the field of psychological behavior association analysis.

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