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A Psychological Behavior Analysis Method Based on Coexistence Rate and Association Rules

A behavioral analysis and psychological technology, applied in the fields of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems that have not been applied to the field of psychological behavior correlation analysis, and achieve the effect of efficient analysis methods

Active Publication Date: 2021-07-16
KUNMING UNIV OF SCI & TECH
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  • Description
  • Claims
  • Application Information

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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.

Method used

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  • A Psychological Behavior Analysis Method Based on Coexistence Rate and Association Rules
  • A Psychological Behavior Analysis Method Based on Coexistence Rate and Association Rules
  • A Psychological Behavior Analysis Method Based on Coexistence Rate and Association Rules

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] Embodiment 1: as Figure 1-3 As shown, a psychological behavior analysis method based on the coexistence rate and association rules first establishes a transactional database of human psychological behavior vocabulary data; item and generate a new transaction set; then, each mental behavior vocabulary in the new transaction set is regarded as an item, and an association rule algorithm is introduced to calculate frequent itemsets with different numbers of items; secondly, corresponding strong association rules are generated from each frequent itemset , and calculate the confidence degree of each strong association rule; finally, sort these frequent itemsets through the confidence degree of each strong association rule, and the result will be able to intuitively express the association degree of each psychological behavior vocabulary.

[0037] The specific steps are:

[0038] Step1. Establish a transaction database of human psychological behavior vocabulary data, the num...

Embodiment 2

[0062] Embodiment 2: as Figure 1-4 As shown, a psychological behavior analysis method based on coexistence rate and association rules, the specific steps of the method are as follows:

[0063] Step1. Establish a transaction database of human psychological behavior vocabulary data, the number of the psychological tester is used as the identifier tid, all the psychological behavior vocabulary of each tester is regarded as a transaction T, and the collection of all transactions is the transaction set D; specifically:

[0064] For the convenience of setting forth the present invention, there are following 10 kinds of psychology and behaviors in the tentatively established database, assuming that its numbering rules are as follows:

[0065]

[0066] Assume that the built database contains the psychological and behavioral data information of the following 7 psychological testers within a certain period of time:

[0067]

[0068] Step2. Scanning the transaction set D, each ps...

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Abstract

The invention relates to a psychological behavior analysis method based on coexistence rates and association rules, and belongs to the technical field of data association rule mining. Firstly, a transaction database of human psychological behavior vocabulary data is established; then the coexistence rate and the minimum coexistence rate of each psychological behavior vocabulary co-existing item are calculated, so as to retain strong related items and generate a new transaction set; then, the new transaction is concentrated in each psychological behavior Behavioral vocabulary is used as an item, and association rule algorithms are introduced to calculate frequent itemsets with different numbers of items; secondly, corresponding strong association rules are generated from each frequent itemset, and the confidence of each strong association rule is calculated; finally, through each The confidence level of the strong association rules, sorting these frequent itemsets, the result will be able to intuitively express the degree of association of each psychological behavior vocabulary. The invention provides the data optimization of the association rule algorithm by the coexistence rate, and plays the role of association analysis on human psychological behavior vocabulary through the optimized association rule algorithm.

Description

technical field [0001] The invention relates to a psychological behavior analysis method based on coexistence rates and association rules, and belongs to the technical field of data association rule mining. Background technique [0002] The original motivation for association rules was proposed for the market basket analysis (Market Basket Analysis) problem. In 1993, Agrawal et al first proposed the concept of association rules, and at the same time gave the corresponding mining algorithm AIS, but the performance was poor. In 1994, they established the item set lattice space theory, and based on the above two theorems, they proposed the famous Apriori algorithm. So far, Apriori is still widely discussed as a classic algorithm for association rule mining. The problem has been extensively studied. [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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/332
Inventor 宋耀莲田榆杰武双新王慧东徐文林
Owner KUNMING UNIV OF SCI & TECH
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