VolTime: Unsupervised Anomaly Detection on Users' Online Activity Volume.
Daniel Y. T. ChinoAlceu Ferraz CostaAgma J. M. TrainaChristos FaloutsosPublished in: SDM (2017)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- online learning
- end users
- internet users
- user interface
- user activity
- social networking sites
- recommender systems
- user activities
- user satisfaction
- online services
- collaborative filtering
- user interaction
- real world
- online video
- virtual communities
- pattern recognition
- website
- photo sharing
- user profiles
- social networking services
- real time
- multiple users
- product reviews
- search engine
- intrusion detection
- learning algorithm
- text mining
- object recognition
- feature selection