Roland Assam

According to our database, Roland Assam authored at least 17 papers between 2011 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2016

Infusing Geo-Recency Mixture Models for Effective Location Prediction in LBSN.

Roland Assam, Subramanyam Sathyanarayana, Thomas Seidl

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

2015

Predictive analytics and protection of massive data.

Roland Assam

PhD thesis, 2015

UrbanHubble: Location Prediction and Geo-Social Analytics in LBSN.

Roland Assam, Simon Feiden, Thomas Seidl

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014

Activity recognition from sensors using dyadic wavelets and Hidden Markov Model.

Roland Assam, Thomas Seidl

Proceedings of the IEEE 10th International Conference on Wireless and Mobile Computing, 2014

Near-Optimal Activity Prediction through Efficient Wavelet Modulus Maxima Partitioning and Conditional Random Fields.

Roland Assam, Thomas Seidl

Proceedings of the 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops, 2014

(k, d)-core anonymity: structural anonymization of massive networks.

Roland Assam, Marwan Hassani, Michael Brysch, Thomas Seidl

Proceedings of the Conference on Scientific and Statistical Database Management, 2014

Context-based location clustering and prediction using conditional random fields.

Roland Assam, Thomas Seidl

Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia, 2014

Effective Map Matching Using Curve Tangents and Hidden Markov Model.

Roland Assam, Thomas Seidl

Proceedings of the 10th International Conference on Mobile Ad-hoc and Sensor Networks, 2014

Check-in Location Prediction Using Wavelets and Conditional Random Fields.

Roland Assam, Thomas Seidl

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Prediction of freezing of gait from Parkinson's Disease movement time series using conditional random fields.

Roland Assam, Thomas Seidl

Proceedings of the Third ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health, 2014

2013

Private Map Matching: Realistic Private Route Cognition on Road Networks.

Roland Assam, Thomas Seidl

Proceedings of the 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing, 2013

BodyGuards: A Clairvoyant Location Predictor Using Frequent Neighbors and Markov Model.

Roland Assam, Thomas Seidl

Proceedings of the 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing, 2013

A Model for Context-Aware Location Identity Preservation Using Differential Privacy.

Roland Assam, Thomas Seidl

Proceedings of the 12th IEEE International Conference on Trust, 2013

2012

Differential Private Trajectory Obfuscation.

Roland Assam, Marwan Hassani, Thomas Seidl

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking, and Services, 2012

Differential private trajectory protection of moving objects.

Roland Assam, Marwan Hassani, Thomas Seidl

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoStreaming, 2012

TMC-pattern: holistic trajectory extraction, modeling and mining.

Roland Assam, Thomas Seidl

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2012

2011

Preserving privacy of moving objects via temporal clustering of spatio-temporal data streams.

Roland Assam, Thomas Seidl

Proceedings of the 4th ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS, 2011