User Behavior Modeling and Mining: A Special Focus on the Spatial and Semantic Aspects of User Behavior

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Systems".

Deadline for manuscript submissions: closed (30 August 2022) | Viewed by 608

Special Issue Editors


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Guest Editor
LIFAT lab, University of Tours, Blois, France
Interests: data mining; spatio-temporal data; machine learning; fuzzy logic

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Guest Editor
School of Computer Science, University College Dublin, Dublin, Ireland
Interests: location-based services; VGI; user profiling; geovisual analysis; smart city technology; urban dynamics; citizen science
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Computer Sciences Department, University of Tours, Blois, France
Interests: data mining; machine learning; XAI; user-centric approaches; recommendation

Special Issue Information

Dear Colleagues,

We are pleased to invite contributions to Information on the topic of user behavior modeling and mining, with a special focus on the spatial and semantic aspects of human behaviour.            

Human behaviour is complex, multi-level and multimodal. In addition, behaviour is shaped by the environment and context.   Modelling user behaviour at an aggregated level typically involves analysing human mobility through virtual or physical activities. 

Human physical mobility models can provide input to transportation modelling, urban planning, public health and population studies. Human virtual mobility models can help with data narration, interactive tool designs, social network analysis, and recommender systems. 

The techniques or approaches to model and analyse behaviour are varied. They may be multidisciplinary and include statistical models, agent-based approaches, machine learning and visualisation tools. Moreover, the modelling can be conducted at different levels of granularity, from raw traces to rich semantic ones.

This Special Issue welcomes submissions that provide new approaches and perspectives or introduce new challenges and tasks related to human behaviour modelling and mining, specifically considering the semantic and spatial aspects of human behaviour. Additionally, articles which provide an overview of the topics are welcome.

Dr. Cyril de Runz
Dr Gavin McArdle
Dr Nicolas Labroche
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • user behavior
  • data mining
  • human in the loop
  • machine learning

Published Papers

There is no accepted submissions to this special issue at this moment.
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