171 citations · 306 across the 21 of their papers we have counts for
22 papers
Efficient Generalized Temporal Pattern Mining in Big Time Series Using Mutual Information
Van Long Ho, Nguyen Ho, Torben Bach Pedersen +1
Big time series are increasingly available from an ever wider range of IoT-enabled sensors deployed in various environments. Significant insights can be gained by mining temporal p…
Goal-Oriented Scheduling in Sensor Networks with Application Timing Awareness
Josefine Holm, Federico Chiariotti, Anders E. Kalør +3
Taking inspiration from linguistics, the communications theoretical community has recently shown a significant recent interest in pragmatic , or goal-oriented, communication. In th…
Mining Seasonal Temporal Patterns in Time Series
Van Long Ho, Nguyen Ho, Torben Bach Pedersen
Very large time series are increasingly available from an ever wider range of IoT-enabled sensors, from which significant insights can be obtained through mining temporal patterns…
A Unified Approach for Multi-Scale Synchronous Correlation Search in Big Time Series -- Full Version
Nguyen Ho, Van Long Ho, Torben Bach Pedersen +2
The wide deployment of IoT sensors has enabled the collection of very big time series across different domains, from which advanced analytics can be performed to find unknown relat…
Finding Representative Sampling Subsets in Sensor Graphs using Time Series Similarities
Roshni Chakraborty, Josefine Holm, Torben Bach Pedersen +1
With the increasing use of IoT-enabled sensors, it is important to have effective methods for querying the sensors. For example, in a dense network of battery-driven temperature se…
Evolutionary Clustering of Streaming Trajectories
Tianyi Li, Lu Chen, Christian S. Jensen +2
The widespread deployment of smartphones and location-enabled, networked in-vehicle devices renders it increasingly feasible to collect streaming trajectory data of moving objects.…