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Comparison Of User Behaviour Classification Methods.
Jannis, Kuckei (2018) Comparison Of User Behaviour Classification Methods. (Bachelor thesis), Kiel University, Kiel, 30 pp.
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Abstract
User behaviour classification for software systems is a useful method that enables the understanding of a system’s user base. The resulting classification of users into groups of similar behaviour can be used to generate realistic workloads for performance testing, or simply to aid in the improvement or addition of user-centric features. Many approaches to this problem use clustering algorithms which have trouble separating high-dimensional data. To address this challenge, we implement and evaluate an approach that compares and classifies user behavior models based on distance functions defined on those models.
Document Type: | Thesis (Bachelor thesis) |
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Keywords: | User Behavior Clustering Workload Modelling |
Research affiliation: | Kiel University > Software Engineering |
Open Access Journal?: | Yes |
Projects: | iObserve |
Date Deposited: | 27 Apr 2018 10:35 |
Last Modified: | 29 Apr 2018 19:59 |
URI: | https://oceanrep.geomar.de/id/eprint/42869 |
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