VASABI: Hierarchical User Profiles for Interactive Visual User Behaviour Analytics.
IEEE Trans Vis Comput Graph
; 26(1): 77-86, 2020 01.
Article
em En
| MEDLINE
| ID: mdl-31442992
ABSTRACT
User behaviour analytics (UBA) systems offer sophisticated models that capture users' behaviour over time with an aim to identify fraudulent activities that do not match their profiles. Motivated by the challenges in the interpretation of UBA models, this paper presents a visual analytics approach to help analysts gain a comprehensive understanding of user behaviour at multiple levels, namely individual and group level. We take a user-centred approach to design a visual analytics framework supporting the analysis of collections of users and the numerous sessions of activities they conduct within digital applications. The framework is centred around the concept of hierarchical user profiles that are built based on features derived from sessions, as well as on user tasks extracted using a topic modelling approach to summarise and stratify user behaviour. We externalise a series of analysis goals and tasks, and evaluate our methods through use cases conducted with experts. We observe that with the aid of interactive visual hierarchical user profiles, analysts are able to conduct exploratory and investigative analysis effectively, and able to understand the characteristics of user behaviour to make informed decisions whilst evaluating suspicious users and activities.
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Gráficos por Computador
/
Interface Usuário-Computador
/
Uso da Internet
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
IEEE Trans Vis Comput Graph
Assunto da revista:
INFORMATICA MEDICA
Ano de publicação:
2020
Tipo de documento:
Article