#2822. A novel consumer preference mining method based on improved weclat algorithm

December 2026publication date
Proposal available till 30-05-2025
4 total number of authors per manuscript3510 $

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Journal’s subject area:
Economics and Econometrics;
Business and International Management;
Strategy and Management;
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Abstract:
The article proposes a new consumer preference analysis method based on the usual analysis of frequent item sets, which can detect more rules from high value consumers. The results show that, compared to the weclat algorithm, the AP-weclat algorithm can make certain association rules with low support but high market contribution pass validation by assigning different weights to consumers in the process of frequently generating item sets.
Keywords:
Association rule mining; Consumer preference; Transaction weight

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