Analysis of Algorithms for Detecting Users’ Behavioral Models based on Sessions Data
Analysis of user behavior models based on user session data can be conducted using clustering (or community detecting) algorithms that do not require a predefined number of clusters. An unknown number and quality of potential behavioral models, non-efficient utilization of memory and processing uni...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Riga Technical University Press
2024-12-01
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| Series: | Complex Systems Informatics and Modeling Quarterly |
| Subjects: | |
| Online Access: | https://csimq-journals.rtu.lv/csimq/article/view/291 |
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