A Unified Framework for Detection of Suspicious and Anomalous Beahvior from Spatio-Temporal Traces

Abstract

This paper presents a summary of the doctoral dissertation of the author on the topic of learning patterns of agent behavior from sensor data.

References

Authors

  • Boštjan Kaluža

Downloads

Issue

Vol. 38 No. 3 (2014)

Section

Regular papers

License

Authors retain copyright in their work. By submitting to and publishing with Informatica, authors grant the publisher (Slovene Society Informatika) the non-exclusive right to publish, reproduce, and distribute the article and to identify itself as the original publisher.

All articles are published under the Creative Commons Attribution license CC BY 3.0. Under this license, others may share and adapt the work for any purpose, provided appropriate credit is given and changes (if any) are indicated.

Authors may deposit and share the submitted version, accepted manuscript, and published version, provided the original publication in Informatica is properly cited.

How to Cite

Kaluža, B. (2014). A Unified Framework for Detection of Suspicious and Anomalous Beahvior from Spatio-Temporal Traces. Informatica, 38(3). https://www.informatica.si/index.php/informatica/article/view/698