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A psychobehavioral analysis method based on coexistence rate and association rules

A behavioral analysis and psychological technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve 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: 2019-02-15
KUNMING UNIV OF SCI & TECH
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  • Abstract
  • 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 psychobehavioral analysis method based on coexistence rate and association rules
  • A psychobehavioral analysis method based on coexistence rate and association rules
  • A psychobehavioral analysis method based on coexistence rate and association rules

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Experimental program
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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 which is always based on coexistence rate and association rules, belonging to the technical field of data association rules mining. Firstly, a transaction database of human psychological and behavioral vocabulary data is established. Then, the coexistence rate and the minimum coexistence rate of the coexistence terms of the mental behavior words are obtained, so that the strong correlation terms are preserved and a new transaction set is generated. Then, the association rule algorithm is introduced to compute the frequent itemsets with different number of items, in which each mental behavior word in the new transaction set is regarded as an item. Secondly, the corresponding strong association rules are generated from each frequent itemset, and the confidence level of each strong association rule is calculated. Finally, by sorting these frequent itemsets according to the confidence level of each strong association rule, the result directly shows the relevance degree of each psychological behavior words. The invention provides that the coexistence rate optimizes the data of the association rule algorithm, and the optimized association rule algorithm plays an association analysis role on the human psychological behavior vocabulary.

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 Applications(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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